Final Project- Text Analysis

Author

Jingyi Yang 

install.packages("devtools", repos = "http://cran.us.r-project.org")
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install.packages("gsheet", repos = "http://cran.us.r-project.org")
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install.packages("quanteda.textplots", repos = "http://cran.us.r-project.org")
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install.packages("ggplot2", repos = "http://cran.us.r-project.org")
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# load libraries
library(devtools)
Warning: package 'devtools' was built under R version 4.4.3
Loading required package: usethis
library(tidytext)
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library(plyr)
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library(tidyverse)
Warning: package 'tidyverse' was built under R version 4.4.3
Warning: package 'ggplot2' was built under R version 4.4.3
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.2     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::arrange()   masks plyr::arrange()
✖ purrr::compact()   masks plyr::compact()
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✖ dplyr::lag()       masks stats::lag()
✖ dplyr::mutate()    masks plyr::mutate()
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✖ dplyr::summarise() masks plyr::summarise()
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ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(quanteda)
Warning: package 'quanteda' was built under R version 4.4.3
Package version: 4.2.0
Unicode version: 15.1
ICU version: 74.1
Parallel computing: 8 of 8 threads used.
See https://quanteda.io for tutorials and examples.
library(gsheet)
Warning: package 'gsheet' was built under R version 4.4.3
library(quanteda.textplots)
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library(ggplot2)
library(ggthemes)
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library(formattable)
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library(tm)
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Loading required package: NLP

Attaching package: 'NLP'

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library(factoextra)
Warning: package 'factoextra' was built under R version 4.4.3
Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa
library(cluster)
library(stm)
Warning: package 'stm' was built under R version 4.4.3
stm v1.3.7 successfully loaded. See ?stm for help. 
 Papers, resources, and other materials at structuraltopicmodel.com
# reading the sheet data
Text_Data <-gsheet2tbl("https://docs.google.com/spreadsheets/d/13ubweoyvzAnVpdq6AAV63sz_AeYrXxX-/edit?usp=sharing&ouid=109443244001542565539&rtpof=true&sd=true")
print(Text_Data)
# A tibble: 802 × 40
   Title   Abstract StoreId AlternateTitle ArticleType AuthorAffiliation Authors
   <chr>   <chr>      <dbl> <chr>          <chr>       <chr>             <chr>  
 1 Featur… Aim To …  3.15e9 <NA>           Scholarly … Department of Nu… Chaoji…
 2 Social… Objecti…  3.15e9 <NA>           Scholarly … Department of Co… Newhar…
 3 How co… Objecti…  3.15e9 <NA>           Scholarly … School of Commun… Qiwei …
 4 Psycho… Annual …  3.14e9 <NA>           Scholarly … <NA>              <NA>   
 5 The in… Objecti…  3.13e9 <NA>           Scholarly … University of Ca… Karuna…
 6 How do… This st…  3.13e9 <NA>           Scholarly … Sichuan Universi… Yang, …
 7 How Ca… Communi…  3.13e9 <NA>           Scholarly … College of Educa… Nachma…
 8 Increa… This qu…  3.13e9 <NA>           Scholarly … Wilmington Unive… Gonzal…
 9 “It’s … The COV…  3.12e9 <NA>           Scholarly … University of Co… Hanna-…
10 Americ… ‘What i…  3.12e9 <NA>           Scholarly … Educational Lead… Glanze…
# ℹ 792 more rows
# ℹ 33 more variables: coden <chr>, companies <chr>, copyright <chr>,
#   digitalObjectIdentifier <chr>, documentType <chr>, elecPubDate <date>,
#   entryDate <chr>, isbn <chr>, issn <chr>, issue <chr>, language <chr>,
#   languageOfSummary <chr>, originalTitle <chr>, pages <chr>,
#   placeOfPublication <chr>, pubdate <chr>, pubtitle <chr>, year <dbl>,
#   volume <dbl>, DocumentURL <chr>, classification <chr>, …
nrow(Text_Data)
[1] 802
# convert to tibble, the tidyverse dataframe format
Text_Data <- as_tibble(Text_Data)
# inspect the data
str(Text_Data)
tibble [802 × 40] (S3: tbl_df/tbl/data.frame)
 $ Title                   : chr [1:802] "Features influencing surface acting of different clusters of nursing students in vocational college based on in"| __truncated__ "Social predictors of psychological well-being and symptoms of college students" "How communicative environments affect college students’ mental health help-seeking during COVID-19: a cross-sectional study" "Psychometric Properties of the Family Adaptability and Cohesion Scale IV with College Students in the United States" ...
 $ Abstract                : chr [1:802] "Aim To explore and explain the mechanisms that influence surface acting in nursing students with different char"| __truncated__ "Objective Limited research exists on the simultaneous effects of family functioning, social competence, and soc"| __truncated__ "Objective : This study explores how interpersonal communication environments (eg family, patient-provider, and "| __truncated__ "Annual surveys continue to demonstrate an increasing prevalence of mental health difficulties among college stu"| __truncated__ ...
 $ StoreId                 : num [1:802] 3.15e+09 3.15e+09 3.15e+09 3.14e+09 3.13e+09 ...
 $ AlternateTitle          : chr [1:802] NA NA NA NA ...
 $ ArticleType             : chr [1:802] "Scholarly Journals" "Scholarly Journals" "Scholarly Journals" "Scholarly Journals" ...
 $ AuthorAffiliation       : chr [1:802] "Department of Nursing, School of Clinical Nursing, Gansu Health Vocational College, Gansu, China , School of Nu"| __truncated__ "Department of Counseling and Education Studies, Johns Hopkins University School of Education, Baltimore, Maryland, USA" "School of Communication, Cleveland State University, Cleveland, OH, USA , Department of Communication and Journ"| __truncated__ NA ...
 $ Authors                 : chr [1:802] "Chaojin Da;Wu, Chen;Ji, Zhenying;Zhang, Yuxin;Sun, Nanzhu;Lu, Yang;Zhao, Qiuyan;He, Wenjuan;Huang, Yanjin;Wang, Qi" "Newhart, Sean" "Qiwei Luna Wu;Street, Richard L, Jr" NA ...
 $ coden                   : chr [1:802] NA NA NA NA ...
 $ companies               : chr [1:802] NA NA NA NA ...
 $ copyright               : chr [1:802] "©2024. Elsevier Ltd" "© 2023 Taylor & Francis Group, LLC" "© 2023 Taylor & Francis Group, LLC" "Copyright Springer Nature B.V. Dec 2024" ...
 $ digitalObjectIdentifier : chr [1:802] "10.1016/j.nepr.2024.104204" "10.1080/07448481.2023.2217717" "10.1080/07448481.2023.2224435" "10.1007/s10826-024-02922-y" ...
 $ documentType            : chr [1:802] "Journal Article" "Journal Article" "Journal Article" "Journal Article" ...
 $ elecPubDate             : Date[1:802], format: NA NA ...
 $ entryDate               : chr [1:802] "Jan 2025" "Jan 2025" "Jan 2025" "Dec 2024" ...
 $ isbn                    : chr [1:802] NA NA NA NA ...
 $ issn                    : chr [1:802] "1471-5953" "0744-8481" "0744-8481" "1062-1024" ...
 $ issue                   : chr [1:802] NA "1" "1" "12" ...
 $ language                : chr [1:802] "English" "English" "English" "English" ...
 $ languageOfSummary       : chr [1:802] "English" "English" "English" "English" ...
 $ originalTitle           : chr [1:802] NA NA NA NA ...
 $ pages                   : chr [1:802] "104204" "267-280" "380-389" "3920-3932" ...
 $ placeOfPublication      : chr [1:802] "Kidlington" "Washington" "Washington" "New York" ...
 $ pubdate                 : chr [1:802] "Jan 2025" "Jan 2025" "Jan 2025" "Dec 2024" ...
 $ pubtitle                : chr [1:802] "Nurse Education in Practice" "Journal of American College Health" "Journal of American College Health" "Journal of Child and Family Studies" ...
 $ year                    : num [1:802] 2025 2025 2025 2024 2024 ...
 $ volume                  : num [1:802] 82 73 73 33 72 49 48 23 39 45 ...
 $ DocumentURL             : chr [1:802] "http://silk.library.umass.edu/login?url=https://www.proquest.com/scholarly-journals/features-influencing-surfac"| __truncated__ "http://silk.library.umass.edu/login?url=https://www.proquest.com/scholarly-journals/social-predictors-psycholog"| __truncated__ "http://silk.library.umass.edu/login?url=https://www.proquest.com/scholarly-journals/how-communicative-environme"| __truncated__ "http://silk.library.umass.edu/login?url=https://www.proquest.com/scholarly-journals/psychometric-properties-fam"| __truncated__ ...
 $ classification          : chr [1:802] NA NA NA NA ...
 $ classificationCodes     : chr [1:802] NA NA NA NA ...
 $ documentFeatures        : chr [1:802] NA NA NA NA ...
 $ identifierKeywords      : chr [1:802] "Surface acting , Professional identity , Gender role , Nursing students , Machine learning , Qualitative resear"| __truncated__ "College students , family functioning , mental health , social competence , social support , Quantitative resea"| __truncated__ "Mental health , young adults , help-seeking , social cognitive theory , Qualitative research , Cross-sectional "| __truncated__ "Family adaptability and cohesion scale , Circumplex model , Family functioning , College students , Mental heal"| __truncated__ ...
 $ majorClassificationCodes: chr [1:802] NA NA NA NA ...
 $ notes                   : chr [1:802] NA "2021-01-29 (Received) , 2023-04-24 (Rev-recd) , 2023-05-19 (Accepted)" "2022-04-24 (Received) , 2023-04-14 (Rev-recd) , 2023-06-01 (Accepted)" "2024-09-19 (Registration) , 2024-09-18 (Accepted)" ...
 $ startPage               : chr [1:802] "104204" "267" "380" "3920" ...
 $ subjectClassifications  : chr [1:802] NA NA NA NA ...
 $ subjectTerms            : chr [1:802] "EDUCATION , Patient-centered care , Retention , HUMANRESOURCES , EDUCATION , Patients , Acting , PSYCHOLOGY , Q"| __truncated__ "Families & family life , Symptoms , Social skills , Mental depression , Well being , Social skills , College st"| __truncated__ "Patient-centered care , Help seeking behavior , PSYCHOLOGY , Self esteem , College students , PSYCHOLOGY , Heal"| __truncated__ "Help seeking behavior , Alternatives , College students , Mental disorders , PSYCHOLOGY , Clinical research , E"| __truncated__ ...
 $ subjects                : chr [1:802] "Surface acting , Professional identity , Gender role , Nursing students , Machine learning , Qualitative resear"| __truncated__ "College students , family functioning , mental health , social competence , social support , Quantitative resea"| __truncated__ "Mental health , young adults , help-seeking , social cognitive theory , Qualitative research , Cross-sectional "| __truncated__ "Family adaptability and cohesion scale , Circumplex model , Family functioning , College students , Mental heal"| __truncated__ ...
 $ URL                     : chr [1:802] NA NA NA NA ...
 $ FindACopy               : chr [1:802] "https://resolver.ebscohost.com/openurl?ctx_ver=Z39.88-2004&amp;ctx_enc=info:ofi/enc:UTF-8&amp;rfr_id=info:sid/P"| __truncated__ "https://resolver.ebscohost.com/openurl?ctx_ver=Z39.88-2004&amp;ctx_enc=info:ofi/enc:UTF-8&amp;rfr_id=info:sid/P"| __truncated__ "https://resolver.ebscohost.com/openurl?ctx_ver=Z39.88-2004&amp;ctx_enc=info:ofi/enc:UTF-8&amp;rfr_id=info:sid/P"| __truncated__ "https://resolver.ebscohost.com/openurl?ctx_ver=Z39.88-2004&amp;ctx_enc=info:ofi/enc:UTF-8&amp;rfr_id=info:sid/P"| __truncated__ ...
 $ Database                : chr [1:802] "Education Database" "Education Database" "Education Database" "Education Database" ...
Text_Data_Abstract<- Text_Data %>% select (Abstract)
head(Text_Data_Abstract) # select Abstract from the dataset
# A tibble: 6 × 1
  Abstract                                                                      
  <chr>                                                                         
1 Aim To explore and explain the mechanisms that influence surface acting in nu…
2 Objective Limited research exists on the simultaneous effects of family funct…
3 Objective : This study explores how interpersonal communication environments …
4 Annual surveys continue to demonstrate an increasing prevalence of mental hea…
5 Objective: This paper discusses the influence of family and cultural backgrou…
6 This study contributes evidence on the impact of developmental advising using…
Text_Data_Abstract_corpus <- corpus(Text_Data_Abstract, text_field = "Abstract" , meta = list(source = "From a data.frame called mydf."))
Text_Data_Abstract_summary <- summary(Text_Data_Abstract_corpus)
head(Text_Data_Abstract_summary)
   Text Types Tokens Sentences
1 text1   187    333        15
2 text2    98    161         6
3 text3   122    205         9
4 text4   100    181        10
5 text5    95    155         4
6 text6    93    134         4
# the number of documents (articles) in text data
ndoc(Text_Data_Abstract_corpus) # There are 802 documents in the text data.
[1] 802
# Drop punctuation as well as numbers
Text_Data_Abstract_tokens <- tokens(Text_Data_Abstract_corpus,
    remove_punct = T,
    remove_numbers = T,
    remove_symbols = T)
print(Text_Data_Abstract_tokens)
Tokens consisting of 802 documents.
text1 :
 [1] "Aim"        "To"         "explore"    "and"        "explain"   
 [6] "the"        "mechanisms" "that"       "influence"  "surface"   
[11] "acting"     "in"        
[ ... and 286 more ]

text2 :
 [1] "Objective"    "Limited"      "research"     "exists"       "on"          
 [6] "the"          "simultaneous" "effects"      "of"           "family"      
[11] "functioning"  "social"      
[ ... and 128 more ]

text3 :
 [1] "Objective"        "This"             "study"            "explores"        
 [5] "how"              "interpersonal"    "communication"    "environments"    
 [9] "eg"               "family"           "patient-provider" "and"             
[ ... and 154 more ]

text4 :
 [1] "Annual"       "surveys"      "continue"     "to"           "demonstrate" 
 [6] "an"           "increasing"   "prevalence"   "of"           "mental"      
[11] "health"       "difficulties"
[ ... and 147 more ]

text5 :
 [1] "Objective"   "This"        "paper"       "discusses"   "the"        
 [6] "influence"   "of"          "family"      "and"         "cultural"   
[11] "backgrounds" "on"         
[ ... and 120 more ]

text6 :
 [1] "This"          "study"         "contributes"   "evidence"     
 [5] "on"            "the"           "impact"        "of"           
 [9] "developmental" "advising"      "using"         "a"            
[ ... and 105 more ]

[ reached max_ndoc ... 796 more documents ]
# Stemming
Text_Data_Abstract_tokens <- tokens_wordstem(Text_Data_Abstract_tokens)

# remove stopwords from our tokens object
Text_Data_Abstract_tokens <- tokens_select(Text_Data_Abstract_tokens,
                                           pattern = stopwords("en"),
                                           selection = "remove")
print(Text_Data_Abstract_tokens)
Tokens consisting of 802 documents.
text1 :
 [1] "Aim"          "explor"       "explain"      "mechan"       "influenc"    
 [6] "surfac"       "act"          "nurs"         "student"      "differ"      
[11] "characterist" "Background"  
[ ... and 193 more ]

text2 :
 [1] "Objectiv" "Limit"    "research" "exist"    "simultan" "effect"  
 [7] "famili"   "function" "social"   "compet"   "social"   "support" 
[ ... and 82 more ]

text3 :
 [1] "Objectiv"       "studi"          "explor"         "interperson"   
 [5] "communic"       "environ"        "eg"             "famili"        
 [9] "patient-provid" "onlin"          "communic"       "environ"       
[ ... and 111 more ]

text4 :
 [1] "Annual"     "survey"     "continu"    "demonstr"   "increas"   
 [6] "preval"     "mental"     "health"     "difficulti" "among"     
[11] "colleg"     "student"   
[ ... and 94 more ]

text5 :
 [1] "Objectiv"   "paper"      "discuss"    "influenc"   "famili"    
 [6] "cultur"     "background" "South"      "Asian"      "student"   
[11] "survivor"   "understand"
[ ... and 76 more ]

text6 :
 [1] "studi"       "contribut"   "evid"        "impact"      "development"
 [6] "advis"       "use"         "nation"      "sampl"       "student"    
[11] "undergradu"  "clinic"     
[ ... and 68 more ]

[ reached max_ndoc ... 796 more documents ]
# check the use of "family"
kwic_family <- kwic(Text_Data_Abstract_tokens,
      pattern = c("famili"))
head(kwic_family)
Keyword-in-context with 6 matches.                                                                 
 [text1, 182]           serv key negat predictor Posit | famili |
   [text2, 7]     Limit research exist simultan effect | famili |
  [text2, 78]  predictor follow perceiv social support | famili |
   [text3, 8]   explor interperson communic environ eg | famili |
  [text3, 39] self-efficaci readi well communic experi | famili |
  [text3, 82]      reduc help-seek stigma wherea onlin | famili |
                                             
 condit access educ resourc parent           
 function social compet social support       
 function Conclus Practition consid impact   
 patient-provid onlin communic environ affect
 healthcar provid onlin environ Four         
 communic predict help-seek readi chang      
kwic_family_data <- as.data.frame(kwic_family)
kwic_family_data_count <- kwic_family_data %>% group_by(docname) %>% count()%>% plyr::arrange(n)

summary_family <- kwic_family_data_count %>% group_by(n) %>% count()%>% mutate(total_number=as.numeric(nn)) %>% mutate(percentage= total_number/779) %>% mutate(number=as.numeric(n)) %>% select(-c(n,nn))
Storing counts in `nn`, as `n` already present in input
Adding missing grouping variables: `n`
ℹ Use `name = "new_name"` to pick a new name.
sum(summary_family$total_number)
[1] 779
head(summary_family)
# A tibble: 6 × 4
# Groups:   n [6]
      n total_number percentage number
  <int>        <dbl>      <dbl>  <dbl>
1     1          496     0.637       1
2     2          145     0.186       2
3     3           56     0.0719      3
4     4           29     0.0372      4
5     5           17     0.0218      5
6     6           13     0.0167      6
ggplot(summary_family, aes(x=number, y= total_number, fill=number)) +
   geom_bar(stat = "identity")+
  ggthemes::theme_few()+
  geom_text(aes(label = percent(percentage)), color = "black", size=3,position = position_dodge(width = .9) )+
  scale_x_continuous(name="Times 'Family' appered in the document")+
  scale_y_continuous(name="Count")+
  scale_fill_continuous(name="Times")+
  theme(axis.text.x = element_text(angle=90, hjust=1))+
  labs(title = "Count For Document Types")+
  theme(plot.title = element_text(hjust=0.5))+
  theme(legend.position = "bottom")

# check the use of "student"
kwic_student <- kwic(Text_Data_Abstract_tokens,
      pattern = phrase("colleg student"))
head(kwic_student)
Keyword-in-context with 6 matches.                                                                               
   [text2, 17:18]        support well-b depress anxieti stress | colleg student
   [text3, 14:15] patient-provid onlin communic environ affect | colleg student
 [text3, 113:114]            studi may inform intervent target | colleg student
   [text4, 11:12]        preval mental health difficulti among | colleg student
   [text4, 27:28]           well-b mental health symptom among | colleg student
   [text4, 51:52]            Howev FACES-IV specif valid among | colleg student
                                         
 | power effect examin predictor two     
 | mental help-seek dure COVID-19 Method 
 | use mental health servic dure         
 | result increas help seek behavior     
 | famili function Famili Adaptabl Cohes 
 | popul studi examin psychometr properti
kwic_student_data <- as.data.frame(kwic_student)
kwic_student_data_count <- kwic_student_data %>% group_by(docname) %>% count()%>% plyr::arrange(n)

summary_student <- kwic_student_data_count %>% group_by(n) %>% count()%>% mutate(total_number=as.numeric(nn)) %>% mutate(percentage= total_number/490) %>% mutate(number=as.numeric(n)) %>% select(-c(n,nn))
Storing counts in `nn`, as `n` already present in input
Adding missing grouping variables: `n`
ℹ Use `name = "new_name"` to pick a new name.
sum(summary_student$total_number)
[1] 490
head(summary_student)
# A tibble: 6 × 4
# Groups:   n [6]
      n total_number percentage number
  <int>        <dbl>      <dbl>  <dbl>
1     1          220     0.449       1
2     2          121     0.247       2
3     3           64     0.131       3
4     4           44     0.0898      4
5     5           16     0.0327      5
6     6            8     0.0163      6
ggplot(summary_student, aes(x=number, y= total_number, fill=number)) +
   geom_bar(stat = "identity")+
  ggthemes::theme_few()+
  geom_text(aes(label = percent(percentage)), color = "black", size=3,position = position_dodge(width = .9) )+
  scale_x_continuous(name="Times 'College Student' appered in the document")+
  scale_y_continuous(name="Count")+
  scale_fill_continuous(name="Times")+
  theme(axis.text.x = element_text(angle=90, hjust=1))+
  labs(title = "Count For Document Types")+
  theme(plot.title = element_text(hjust=0.5))+
  theme(legend.position = "bottom")

Text_Data_Subject_Term <- Text_Data%>% select(subjectTerms)

Text_Data_Subject_Term_corpus<- corpus(Text_Data_Subject_Term, text_field = "subjectTerms" , meta = list(source = "From a data.frame called mydf."))
Warning: NA is replaced by empty string
# quanteda comes with a corpus of presidential inaugural speeches
# this first line subsets that corpus to speeches later than 1953
dfm_inaug <- corpus_subset(Text_Data_Subject_Term_corpus) %>%
    # notice we are using the piping operator again.
    # this time, we pipe the corpus to tokens then to DFM, which creates a document-feature matrix
    tokens(remove_punct = TRUE,
    remove_numbers = TRUE,
    remove_symbols = TRUE) %>%
    # in creating it
    dfm() %>%
    dfm_remove(stopwords('english')) %>%
    dfm_trim(min_termfreq=20)

textplot_wordcloud(dfm_inaug)

Text_Data_Subjects <- Text_Data%>% select(subjects)

Text_Data_Subjects_corpus<- corpus(Text_Data_Subjects, text_field = "subjects" , meta = list(source = "From a data.frame called mydf."))
Warning: NA is replaced by empty string
# quanteda comes with a corpus of presidential inaugural speeches
# this first line subsets that corpus to speeches later than 1953
dfm_inaug <- corpus_subset(Text_Data_Subjects_corpus) %>%
    # notice we are using the piping operator again.
    # this time, we pipe the corpus to tokens then to DFM, which creates a document-feature matrix
    tokens(remove_punct = TRUE,
    remove_numbers = TRUE,
    remove_symbols = TRUE) %>%
    # in creating it
    dfm()%>%
    dfm_remove(stopwords('english')) %>%
    dfm_trim(min_termfreq=10)

textplot_wordcloud(dfm_inaug)

Text_Data_date_analysis<- Text_Data %>% select(year,documentType, pubtitle)

summary_table_documentType <-Text_Data_date_analysis %>% group_by(documentType) %>% count() %>% mutate(percentage= n/802) %>% mutate(n=as.numeric(n))

summary_table_documentType
# A tibble: 10 × 3
# Groups:   documentType [10]
   documentType                                    n percentage
   <chr>                                       <dbl>      <dbl>
 1 Book Review                                     2    0.00249
 2 Commentary                                      3    0.00374
 3 Dissertation/Thesis                           365    0.455  
 4 Evidence Based Healthcare , Journal Article     3    0.00374
 5 Feature                                        26    0.0324 
 6 General Information                             4    0.00499
 7 Journal Article                               392    0.489  
 8 Journal Article , Feature                       1    0.00125
 9 News                                            5    0.00623
10 Review                                          1    0.00125
ggplot(summary_table_documentType, aes(x=documentType, y= n, fill=documentType)) +
   geom_bar(stat = "identity")+
  ggthemes::theme_few()+
  geom_text(aes(label = percent(percentage)), color = "black", size=3,position = position_dodge(width = .9) )+
  scale_x_discrete(name="Document Types", labels = c("Book Review", "Commentary", "Dissertation Thesis","Evidence Based\nHealthcare\nJournal Article", "Feature", "General Information", "Journal Article", "Journal Article\nFeature", "News", "Review") )+
  scale_y_continuous(name="Count", breaks = 10)+
  scale_fill_discrete(name="Document Types")+
  theme(axis.text.x = element_text(angle=90, hjust=1))+
  labs(title = "Count For Document Types")+
  theme(plot.title = element_text(hjust=0.5))+
  theme(legend.position = "bottom")

summary_table_pubtitle <-Text_Data_date_analysis %>% group_by(pubtitle) %>% count() %>% mutate(percentage= n/802) %>%arrange(desc(n))

head(summary_table_pubtitle)
# A tibble: 6 × 3
# Groups:   pubtitle [6]
  pubtitle                                               n percentage
  <chr>                                              <int>      <dbl>
1 ProQuest Dissertations and Theses                    364     0.454 
2 Journal of American College Health                    33     0.0411
3 Community College Journal of Research and Practice    28     0.0349
4 Asian Journal of Nursing Education and Research       14     0.0175
5 Journal of Latinos and Education                      13     0.0162
6 Community College Review                              11     0.0137
summary_table_year <-Text_Data_date_analysis %>% group_by(year) %>% count()

summary_table_year
# A tibble: 11 × 2
# Groups:   year [11]
    year     n
   <dbl> <int>
 1  2015    78
 2  2016   112
 3  2017    70
 4  2018    76
 5  2019    70
 6  2020    77
 7  2021    85
 8  2022    90
 9  2023    90
10  2024    51
11  2025     3
ggplot(summary_table_year, aes(x=year, y= n)) +
   geom_line()+
  geom_point()+
  ggthemes::theme_few()+
  scale_x_continuous(n.break=10, name= "Year Number")+
  scale_y_continuous(n.break=10,name="Count")+
  geom_text(aes(label = n), position = "jitter")+
  labs(title = "Trends For Number of Publications Over Time")+
  theme(plot.title = element_text(hjust=0.5))

Clustering & Scaling

# load some text
Text_Data_Abstract_corpus
Corpus consisting of 802 documents.
text1 :
"Aim To explore and explain the mechanisms that influence sur..."

text2 :
"Objective Limited research exists on the simultaneous effect..."

text3 :
"Objective : This study explores how interpersonal communicat..."

text4 :
"Annual surveys continue to demonstrate an increasing prevale..."

text5 :
"Objective: This paper discusses the influence of family and ..."

text6 :
"This study contributes evidence on the impact of development..."

[ reached max_ndoc ... 796 more documents ]
# tokenization and preprocessing
tokens_clustering <- tokens(Text_Data_Abstract_corpus, remove_punct = TRUE, remove_numbers = TRUE, remove_symbols = TRUE)

tokens_clustering <- tokens_select(tokens_clustering,
pattern = stopwords("en"),
selection = "remove")

tokens_clustering <- tokens_tolower(tokens_clustering)

# create our document-feature matrix
dfm_clustering <- dfm(tokens_clustering)
# trim dfm
dfm_trimmed_clustering <- dfm_trim(dfm_clustering , min_termfreq = 20, termfreq_type = "count", min_docfreq = 10, docfreq_type = "count")
# convert to a matrix and scale for ease of computation
dfm_matrix_clustering <- as.matrix(dfm_trimmed_clustering)
scaled_matrix_clustering <- scale(dfm_matrix_clustering)
#
fviz_nbclust(scaled_matrix_clustering, kmeans, method = "wss") + 
labs(title = "Elbow Method for Optimal Clusters")

fviz_nbclust(scaled_matrix_clustering, kmeans, method = "silhouette") + 
  labs(title = "Silhouette Method for Optimal Clusters")

# hierarchical Clustering
set.seed(123)
k_clusters <- 2
kmeans_result_clustering <- kmeans(scaled_matrix_clustering, centers = k_clusters, nstart = 25)
fviz_cluster(list(data = scaled_matrix_clustering, cluster = kmeans_result_clustering$cluster))

fviz_cluster(kmeans_result_clustering, data = scaled_matrix_clustering, geom = "point", ellipse.type = "norm") +
  labs(title = "K-Means Clustering of Abstracts")

Text_Data$KMeans_Cluster <- kmeans_result_clustering$cluster

head(Text_Data)
# A tibble: 6 × 41
  Title    Abstract StoreId AlternateTitle ArticleType AuthorAffiliation Authors
  <chr>    <chr>      <dbl> <chr>          <chr>       <chr>             <chr>  
1 Feature… Aim To …  3.15e9 <NA>           Scholarly … Department of Nu… Chaoji…
2 Social … Objecti…  3.15e9 <NA>           Scholarly … Department of Co… Newhar…
3 How com… Objecti…  3.15e9 <NA>           Scholarly … School of Commun… Qiwei …
4 Psychom… Annual …  3.14e9 <NA>           Scholarly … <NA>              <NA>   
5 The inf… Objecti…  3.13e9 <NA>           Scholarly … University of Ca… Karuna…
6 How doe… This st…  3.13e9 <NA>           Scholarly … Sichuan Universi… Yang, …
# ℹ 34 more variables: coden <chr>, companies <chr>, copyright <chr>,
#   digitalObjectIdentifier <chr>, documentType <chr>, elecPubDate <date>,
#   entryDate <chr>, isbn <chr>, issn <chr>, issue <chr>, language <chr>,
#   languageOfSummary <chr>, originalTitle <chr>, pages <chr>,
#   placeOfPublication <chr>, pubdate <chr>, pubtitle <chr>, year <dbl>,
#   volume <dbl>, DocumentURL <chr>, classification <chr>,
#   classificationCodes <chr>, documentFeatures <chr>, …
Text_Data$KMeans_Cluster
  text1   text2   text3   text4   text5   text6   text7   text8   text9  text10 
      2       2       2       2       2       2       1       2       2       2 
 text11  text12  text13  text14  text15  text16  text17  text18  text19  text20 
      2       2       2       2       2       2       2       2       2       1 
 text21  text22  text23  text24  text25  text26  text27  text28  text29  text30 
      2       2       2       1       2       2       2       2       2       2 
 text31  text32  text33  text34  text35  text36  text37  text38  text39  text40 
      2       1       2       2       2       2       2       2       2       2 
 text41  text42  text43  text44  text45  text46  text47  text48  text49  text50 
      2       2       2       2       2       2       2       2       2       2 
 text51  text52  text53  text54  text55  text56  text57  text58  text59  text60 
      2       2       2       2       2       2       2       2       2       2 
 text61  text62  text63  text64  text65  text66  text67  text68  text69  text70 
      2       2       2       2       2       2       2       2       2       2 
 text71  text72  text73  text74  text75  text76  text77  text78  text79  text80 
      2       2       2       2       2       2       2       2       2       2 
 text81  text82  text83  text84  text85  text86  text87  text88  text89  text90 
      2       2       2       2       2       2       2       2       2       2 
 text91  text92  text93  text94  text95  text96  text97  text98  text99 text100 
      2       2       2       2       2       2       2       2       2       2 
text101 text102 text103 text104 text105 text106 text107 text108 text109 text110 
      2       2       2       2       2       2       1       1       2       1 
text111 text112 text113 text114 text115 text116 text117 text118 text119 text120 
      1       2       2       2       2       1       1       1       2       2 
text121 text122 text123 text124 text125 text126 text127 text128 text129 text130 
      1       2       1       2       1       1       2       1       1       1 
text131 text132 text133 text134 text135 text136 text137 text138 text139 text140 
      1       1       1       1       1       2       1       2       1       2 
text141 text142 text143 text144 text145 text146 text147 text148 text149 text150 
      2       2       2       2       2       2       2       2       1       2 
text151 text152 text153 text154 text155 text156 text157 text158 text159 text160 
      2       2       2       2       2       2       1       2       2       2 
text161 text162 text163 text164 text165 text166 text167 text168 text169 text170 
      1       2       2       2       2       2       2       2       2       2 
text171 text172 text173 text174 text175 text176 text177 text178 text179 text180 
      2       2       2       2       2       2       2       1       2       2 
text181 text182 text183 text184 text185 text186 text187 text188 text189 text190 
      2       1       2       2       2       2       2       1       2       1 
text191 text192 text193 text194 text195 text196 text197 text198 text199 text200 
      2       2       1       2       2       1       1       2       2       1 
text201 text202 text203 text204 text205 text206 text207 text208 text209 text210 
      2       1       1       1       1       1       2       2       2       1 
text211 text212 text213 text214 text215 text216 text217 text218 text219 text220 
      1       2       1       2       1       2       1       2       1       1 
text221 text222 text223 text224 text225 text226 text227 text228 text229 text230 
      1       1       2       1       2       1       1       1       1       2 
text231 text232 text233 text234 text235 text236 text237 text238 text239 text240 
      2       2       2       1       2       2       2       2       2       2 
text241 text242 text243 text244 text245 text246 text247 text248 text249 text250 
      2       2       2       2       2       2       2       2       2       2 
text251 text252 text253 text254 text255 text256 text257 text258 text259 text260 
      2       2       2       2       2       2       2       2       2       2 
text261 text262 text263 text264 text265 text266 text267 text268 text269 text270 
      2       2       1       2       2       2       2       2       2       2 
text271 text272 text273 text274 text275 text276 text277 text278 text279 text280 
      2       2       2       2       1       2       1       1       1       2 
text281 text282 text283 text284 text285 text286 text287 text288 text289 text290 
      2       1       1       1       1       1       1       1       1       1 
text291 text292 text293 text294 text295 text296 text297 text298 text299 text300 
      1       1       2       1       1       1       2       2       1       2 
text301 text302 text303 text304 text305 text306 text307 text308 text309 text310 
      1       2       1       1       1       1       2       1       2       2 
text311 text312 text313 text314 text315 text316 text317 text318 text319 text320 
      2       1       2       2       2       2       2       2       2       2 
text321 text322 text323 text324 text325 text326 text327 text328 text329 text330 
      2       2       2       2       2       2       2       2       2       2 
text331 text332 text333 text334 text335 text336 text337 text338 text339 text340 
      2       2       2       2       2       2       2       2       2       2 
text341 text342 text343 text344 text345 text346 text347 text348 text349 text350 
      2       2       2       2       2       2       2       2       2       2 
text351 text352 text353 text354 text355 text356 text357 text358 text359 text360 
      2       2       2       2       2       2       1       1       2       1 
text361 text362 text363 text364 text365 text366 text367 text368 text369 text370 
      1       2       1       2       1       2       1       2       2       1 
text371 text372 text373 text374 text375 text376 text377 text378 text379 text380 
      1       2       2       2       1       1       2       1       1       2 
text381 text382 text383 text384 text385 text386 text387 text388 text389 text390 
      1       1       1       2       2       1       1       1       2       1 
text391 text392 text393 text394 text395 text396 text397 text398 text399 text400 
      1       1       1       2       2       2       2       2       2       2 
text401 text402 text403 text404 text405 text406 text407 text408 text409 text410 
      2       2       2       2       2       2       2       2       2       2 
text411 text412 text413 text414 text415 text416 text417 text418 text419 text420 
      2       2       2       2       2       2       2       2       2       1 
text421 text422 text423 text424 text425 text426 text427 text428 text429 text430 
      2       2       2       2       2       2       2       2       1       1 
text431 text432 text433 text434 text435 text436 text437 text438 text439 text440 
      2       1       1       1       1       1       1       1       2       2 
text441 text442 text443 text444 text445 text446 text447 text448 text449 text450 
      1       2       1       1       1       1       2       2       1       2 
text451 text452 text453 text454 text455 text456 text457 text458 text459 text460 
      1       2       2       1       1       2       1       2       1       1 
text461 text462 text463 text464 text465 text466 text467 text468 text469 text470 
      1       2       2       1       1       2       2       2       2       2 
text471 text472 text473 text474 text475 text476 text477 text478 text479 text480 
      2       2       2       2       2       2       2       2       2       2 
text481 text482 text483 text484 text485 text486 text487 text488 text489 text490 
      2       2       2       2       2       2       2       2       2       2 
text491 text492 text493 text494 text495 text496 text497 text498 text499 text500 
      2       2       2       2       2       1       2       1       1       1 
text501 text502 text503 text504 text505 text506 text507 text508 text509 text510 
      1       1       1       2       2       2       2       1       1       1 
text511 text512 text513 text514 text515 text516 text517 text518 text519 text520 
      1       1       1       1       1       2       1       1       2       1 
text521 text522 text523 text524 text525 text526 text527 text528 text529 text530 
      1       1       1       2       1       1       2       1       1       2 
text531 text532 text533 text534 text535 text536 text537 text538 text539 text540 
      1       1       2       1       1       1       1       2       2       2 
text541 text542 text543 text544 text545 text546 text547 text548 text549 text550 
      1       2       2       2       2       2       2       2       2       2 
text551 text552 text553 text554 text555 text556 text557 text558 text559 text560 
      2       2       2       2       2       2       2       2       2       2 
text561 text562 text563 text564 text565 text566 text567 text568 text569 text570 
      2       1       2       2       2       2       2       2       2       2 
text571 text572 text573 text574 text575 text576 text577 text578 text579 text580 
      1       2       1       2       2       1       2       2       1       1 
text581 text582 text583 text584 text585 text586 text587 text588 text589 text590 
      1       1       2       1       1       1       1       2       1       2 
text591 text592 text593 text594 text595 text596 text597 text598 text599 text600 
      2       1       2       2       2       1       1       1       1       1 
text601 text602 text603 text604 text605 text606 text607 text608 text609 text610 
      2       1       1       1       1       1       1       1       1       1 
text611 text612 text613 text614 text615 text616 text617 text618 text619 text620 
      2       2       2       2       2       2       2       2       2       2 
text621 text622 text623 text624 text625 text626 text627 text628 text629 text630 
      2       2       2       2       2       2       2       2       2       2 
text631 text632 text633 text634 text635 text636 text637 text638 text639 text640 
      2       2       2       2       2       2       2       2       2       2 
text641 text642 text643 text644 text645 text646 text647 text648 text649 text650 
      2       2       2       2       1       1       2       1       2       2 
text651 text652 text653 text654 text655 text656 text657 text658 text659 text660 
      2       1       1       1       2       1       1       2       1       1 
text661 text662 text663 text664 text665 text666 text667 text668 text669 text670 
      1       1       1       1       1       1       1       1       1       2 
text671 text672 text673 text674 text675 text676 text677 text678 text679 text680 
      2       1       2       2       2       2       1       2       1       2 
text681 text682 text683 text684 text685 text686 text687 text688 text689 text690 
      2       1       1       1       2       1       1       2       2       1 
text691 text692 text693 text694 text695 text696 text697 text698 text699 text700 
      1       2       2       1       2       1       2       1       2       1 
text701 text702 text703 text704 text705 text706 text707 text708 text709 text710 
      2       2       2       1       2       1       2       1       1       1 
text711 text712 text713 text714 text715 text716 text717 text718 text719 text720 
      2       2       2       1       2       1       1       2       2       1 
text721 text722 text723 text724 text725 text726 text727 text728 text729 text730 
      2       2       1       1       1       2       2       2       2       2 
text731 text732 text733 text734 text735 text736 text737 text738 text739 text740 
      2       2       2       2       2       2       1       2       2       2 
text741 text742 text743 text744 text745 text746 text747 text748 text749 text750 
      2       2       2       2       2       2       2       2       2       2 
text751 text752 text753 text754 text755 text756 text757 text758 text759 text760 
      2       2       1       1       2       2       2       2       2       2 
text761 text762 text763 text764 text765 text766 text767 text768 text769 text770 
      1       2       1       1       2       1       1       1       1       1 
text771 text772 text773 text774 text775 text776 text777 text778 text779 text780 
      1       1       2       2       1       2       1       1       2       2 
text781 text782 text783 text784 text785 text786 text787 text788 text789 text790 
      1       2       1       1       2       2       1       2       1       1 
text791 text792 text793 text794 text795 text796 text797 text798 text799 text800 
      1       1       2       1       2       1       1       1       1       1 
text801 text802 
      2       2 
dist_matrix_clustering <- dist(scaled_matrix_clustering)
hclust_result_clustering <- hclust(dist_matrix_clustering, method = "ward.D2")

cluster_assignments_clustering <- data.frame(document = rownames(scaled_matrix_clustering),
                                  cluster = kmeans_result_clustering$cluster)
print(cluster_assignments_clustering)
        document cluster
text1      text1       2
text2      text2       2
text3      text3       2
text4      text4       2
text5      text5       2
text6      text6       2
text7      text7       1
text8      text8       2
text9      text9       2
text10    text10       2
text11    text11       2
text12    text12       2
text13    text13       2
text14    text14       2
text15    text15       2
text16    text16       2
text17    text17       2
text18    text18       2
text19    text19       2
text20    text20       1
text21    text21       2
text22    text22       2
text23    text23       2
text24    text24       1
text25    text25       2
text26    text26       2
text27    text27       2
text28    text28       2
text29    text29       2
text30    text30       2
text31    text31       2
text32    text32       1
text33    text33       2
text34    text34       2
text35    text35       2
text36    text36       2
text37    text37       2
text38    text38       2
text39    text39       2
text40    text40       2
text41    text41       2
text42    text42       2
text43    text43       2
text44    text44       2
text45    text45       2
text46    text46       2
text47    text47       2
text48    text48       2
text49    text49       2
text50    text50       2
text51    text51       2
text52    text52       2
text53    text53       2
text54    text54       2
text55    text55       2
text56    text56       2
text57    text57       2
text58    text58       2
text59    text59       2
text60    text60       2
text61    text61       2
text62    text62       2
text63    text63       2
text64    text64       2
text65    text65       2
text66    text66       2
text67    text67       2
text68    text68       2
text69    text69       2
text70    text70       2
text71    text71       2
text72    text72       2
text73    text73       2
text74    text74       2
text75    text75       2
text76    text76       2
text77    text77       2
text78    text78       2
text79    text79       2
text80    text80       2
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cluster_assignments_clustering %>% group_by(cluster) %>% count()
# A tibble: 2 × 2
# Groups:   cluster [2]
  cluster     n
    <int> <int>
1       1   266
2       2   536

Topic Model

# load some text
Text_Data_Abstract_corpus
Corpus consisting of 802 documents.
text1 :
"Aim To explore and explain the mechanisms that influence sur..."

text2 :
"Objective Limited research exists on the simultaneous effect..."

text3 :
"Objective : This study explores how interpersonal communicat..."

text4 :
"Annual surveys continue to demonstrate an increasing prevale..."

text5 :
"Objective: This paper discusses the influence of family and ..."

text6 :
"This study contributes evidence on the impact of development..."

[ reached max_ndoc ... 796 more documents ]
# tokenization and preprocessing
tokens_topic <- tokens(Text_Data_Abstract_corpus, remove_punct = TRUE, remove_numbers = TRUE, remove_symbols = TRUE)

tokens_topic <- tokens_select(tokens_topic,
pattern = stopwords("en"),
selection = "remove")

tokens_topic <- tokens_tolower(tokens_topic)

# create our document-feature matrix
dfm_topic <- dfm(tokens_topic)
differentKs <- searchK(dfm_topic,
        K = c(5,25,50),
        prevalence =~year,
        N=250,
        data = Text_Data,
        max.em.its = 1000,
        init.type = "Spectral")
Beginning Spectral Initialization 
     Calculating the gram matrix...
     Finding anchor words...
    .....
     Recovering initialization...
    ............................................................................................
Initialization complete.
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 1 (approx. per word bound = -7.431) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 2 (approx. per word bound = -7.194, relative change = 3.188e-02) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 3 (approx. per word bound = -7.161, relative change = 4.524e-03) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 4 (approx. per word bound = -7.152, relative change = 1.318e-03) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 5 (approx. per word bound = -7.145, relative change = 8.741e-04) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, education, families 
 Topic 3: college, students, study, health, family 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, student 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 6 (approx. per word bound = -7.141, relative change = 6.205e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 7 (approx. per word bound = -7.138, relative change = 4.537e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 8 (approx. per word bound = -7.135, relative change = 3.496e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 9 (approx. per word bound = -7.133, relative change = 3.035e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 10 (approx. per word bound = -7.131, relative change = 2.248e-04) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, education, knowledge 
 Topic 3: college, students, health, study, family 
 Topic 4: students, family, college, social, study 
 Topic 5: students, college, study, community, student 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 11 (approx. per word bound = -7.130, relative change = 1.645e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 12 (approx. per word bound = -7.129, relative change = 1.118e-04) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 13 (approx. per word bound = -7.129, relative change = 9.359e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 14 (approx. per word bound = -7.128, relative change = 8.203e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 15 (approx. per word bound = -7.128, relative change = 7.856e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, knowledge, families 
 Topic 3: college, students, health, study, family 
 Topic 4: students, family, college, social, study 
 Topic 5: students, college, study, community, experiences 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 16 (approx. per word bound = -7.127, relative change = 6.578e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 17 (approx. per word bound = -7.127, relative change = 6.202e-05) 
....................................................................................................
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Completing Iteration 18 (approx. per word bound = -7.126, relative change = 5.424e-05) 
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Completing Iteration 19 (approx. per word bound = -7.126, relative change = 4.736e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 20 (approx. per word bound = -7.126, relative change = 5.357e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 21 (approx. per word bound = -7.125, relative change = 4.665e-05) 
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Completing Iteration 22 (approx. per word bound = -7.125, relative change = 4.444e-05) 
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Completing Iteration 23 (approx. per word bound = -7.125, relative change = 4.859e-05) 
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Completing Iteration 24 (approx. per word bound = -7.124, relative change = 4.336e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 25 (approx. per word bound = -7.124, relative change = 3.551e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, study, college, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 26 (approx. per word bound = -7.124, relative change = 3.284e-05) 
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Completing Iteration 27 (approx. per word bound = -7.124, relative change = 2.786e-05) 
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Completing Iteration 28 (approx. per word bound = -7.123, relative change = 2.364e-05) 
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Completing Iteration 29 (approx. per word bound = -7.123, relative change = 2.611e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 30 (approx. per word bound = -7.123, relative change = 4.054e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, study, college, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 31 (approx. per word bound = -7.123, relative change = 3.677e-05) 
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Completing Iteration 32 (approx. per word bound = -7.123, relative change = 3.568e-05) 
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Completing Iteration 33 (approx. per word bound = -7.122, relative change = 3.079e-05) 
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Completing Iteration 34 (approx. per word bound = -7.122, relative change = 2.360e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 35 (approx. per word bound = -7.122, relative change = 2.109e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, study, college, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 36 (approx. per word bound = -7.122, relative change = 2.569e-05) 
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Completing Iteration 37 (approx. per word bound = -7.122, relative change = 2.982e-05) 
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Completing Iteration 38 (approx. per word bound = -7.121, relative change = 3.048e-05) 
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Completing Iteration 39 (approx. per word bound = -7.121, relative change = 2.511e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 40 (approx. per word bound = -7.121, relative change = 2.790e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, study, college, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 41 (approx. per word bound = -7.121, relative change = 3.231e-05) 
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Completing Iteration 42 (approx. per word bound = -7.121, relative change = 2.291e-05) 
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Completing Iteration 43 (approx. per word bound = -7.120, relative change = 2.894e-05) 
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Completing Iteration 44 (approx. per word bound = -7.120, relative change = 3.376e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 45 (approx. per word bound = -7.120, relative change = 2.563e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, study, college, knowledge, families 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 46 (approx. per word bound = -7.120, relative change = 1.870e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 47 (approx. per word bound = -7.120, relative change = 2.235e-05) 
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Completing Iteration 48 (approx. per word bound = -7.119, relative change = 2.773e-05) 
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Completing Iteration 49 (approx. per word bound = -7.119, relative change = 2.029e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 50 (approx. per word bound = -7.119, relative change = 1.311e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, knowledge, family 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
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Completed E-Step (0 seconds). 
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Completing Iteration 51 (approx. per word bound = -7.119, relative change = 1.052e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 52 (approx. per word bound = -7.119, relative change = 1.344e-05) 
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Completing Iteration 53 (approx. per word bound = -7.119, relative change = 1.489e-05) 
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Completing Iteration 54 (approx. per word bound = -7.119, relative change = 1.318e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 55 (approx. per word bound = -7.119, relative change = 1.715e-05) 
Topic 1: students, college, study, community, school 
 Topic 2: students, college, study, knowledge, family 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 56 (approx. per word bound = -7.119, relative change = 2.560e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 57 (approx. per word bound = -7.118, relative change = 1.994e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 58 (approx. per word bound = -7.118, relative change = 1.055e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 59 (approx. per word bound = -7.118, relative change = 1.257e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 60 (approx. per word bound = -7.118, relative change = 1.715e-05) 
Topic 1: students, college, study, school, community 
 Topic 2: students, college, study, knowledge, family 
 Topic 3: college, students, health, family, study 
 Topic 4: students, family, college, study, social 
 Topic 5: students, college, study, community, experiences 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 61 (approx. per word bound = -7.118, relative change = 1.456e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 62 (approx. per word bound = -7.118, relative change = 1.528e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 63 (approx. per word bound = -7.118, relative change = 1.479e-05) 
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Completed E-Step (0 seconds). 
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Model Converged 
Beginning Spectral Initialization 
     Calculating the gram matrix...
     Finding anchor words...
    .........................
     Recovering initialization...
    ............................................................................................
Initialization complete.
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 1 (approx. per word bound = -7.277) 
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Completed E-Step (0 seconds). 
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Completing Iteration 2 (approx. per word bound = -6.728, relative change = 7.540e-02) 
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Completed E-Step (0 seconds). 
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Completing Iteration 3 (approx. per word bound = -6.658, relative change = 1.037e-02) 
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Completed E-Step (0 seconds). 
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Completing Iteration 4 (approx. per word bound = -6.644, relative change = 2.202e-03) 
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Completed E-Step (0 seconds). 
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Completing Iteration 5 (approx. per word bound = -6.638, relative change = 9.494e-04) 
Topic 1: students, college, online, community, academic 
 Topic 2: students, study, families, college, family 
 Topic 3: students, college, services, family, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, language, college, study 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, community 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, levels, study 
 Topic 12: education, students, college, study, knowledge 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, study, school, high 
 Topic 15: students, stem, study, college, community 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, student, college, nursing 
 Topic 18: students, college, enrollment, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, academic 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, college, family, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, community, college, school, rural 
 Topic 25: nontraditional, students, community, college, career 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 6 (approx. per word bound = -6.634, relative change = 5.500e-04) 
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Completed E-Step (0 seconds). 
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Completing Iteration 7 (approx. per word bound = -6.631, relative change = 4.023e-04) 
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Completed E-Step (0 seconds). 
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Completing Iteration 8 (approx. per word bound = -6.630, relative change = 2.205e-04) 
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Completed E-Step (0 seconds). 
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Completing Iteration 9 (approx. per word bound = -6.629, relative change = 1.415e-04) 
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Completed E-Step (0 seconds). 
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Completing Iteration 10 (approx. per word bound = -6.628, relative change = 1.721e-04) 
Topic 1: students, college, online, academic, community 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, college, family, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, academic 
 Topic 7: students, learning, language, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, levels, family 
 Topic 12: education, students, college, knowledge, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, study, school, high 
 Topic 15: students, stem, study, college, community 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, college, student, nursing 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, community, college, school, rural 
 Topic 25: community, students, college, transfer, nontraditional 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 11 (approx. per word bound = -6.627, relative change = 1.414e-04) 
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Completed E-Step (0 seconds). 
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Completing Iteration 12 (approx. per word bound = -6.626, relative change = 7.727e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 13 (approx. per word bound = -6.626, relative change = 6.177e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 14 (approx. per word bound = -6.625, relative change = 6.182e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 15 (approx. per word bound = -6.625, relative change = 4.278e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, study, college, language 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, levels, support 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, college, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, college 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, family, risk, college, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, community, college, rural, school 
 Topic 25: community, college, students, transfer, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 16 (approx. per word bound = -6.625, relative change = 3.559e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 17 (approx. per word bound = -6.625, relative change = 2.981e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 18 (approx. per word bound = -6.625, relative change = 2.584e-05) 
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Completing Iteration 19 (approx. per word bound = -6.624, relative change = 3.119e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 20 (approx. per word bound = -6.624, relative change = 4.410e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, study, sexual, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, levels, support 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, college, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, family, risk, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, community, college, rural, school 
 Topic 25: community, college, students, transfer, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 21 (approx. per word bound = -6.624, relative change = 5.066e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 22 (approx. per word bound = -6.623, relative change = 3.776e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 23 (approx. per word bound = -6.623, relative change = 2.816e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 24 (approx. per word bound = -6.623, relative change = 3.117e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 25 (approx. per word bound = -6.623, relative change = 3.639e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, levels, support 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, college, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 26 (approx. per word bound = -6.623, relative change = 4.413e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 27 (approx. per word bound = -6.622, relative change = 4.525e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 28 (approx. per word bound = -6.622, relative change = 4.147e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 29 (approx. per word bound = -6.622, relative change = 3.119e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 30 (approx. per word bound = -6.622, relative change = 2.885e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, college, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 31 (approx. per word bound = -6.621, relative change = 2.679e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 32 (approx. per word bound = -6.621, relative change = 2.393e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 33 (approx. per word bound = -6.621, relative change = 1.869e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 34 (approx. per word bound = -6.621, relative change = 1.769e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 35 (approx. per word bound = -6.621, relative change = 2.214e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, college, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
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Completing Iteration 36 (approx. per word bound = -6.621, relative change = 2.746e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 37 (approx. per word bound = -6.620, relative change = 3.057e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 38 (approx. per word bound = -6.620, relative change = 3.812e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 39 (approx. per word bound = -6.620, relative change = 2.965e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 40 (approx. per word bound = -6.620, relative change = 2.071e-05) 
Topic 1: students, college, online, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, participants 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, college 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 41 (approx. per word bound = -6.620, relative change = 1.867e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 42 (approx. per word bound = -6.620, relative change = 2.009e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 43 (approx. per word bound = -6.619, relative change = 2.012e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 44 (approx. per word bound = -6.619, relative change = 1.766e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 45 (approx. per word bound = -6.619, relative change = 1.452e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, study, college, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 46 (approx. per word bound = -6.619, relative change = 1.587e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 47 (approx. per word bound = -6.619, relative change = 1.509e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 48 (approx. per word bound = -6.619, relative change = 1.604e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 49 (approx. per word bound = -6.619, relative change = 1.842e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 50 (approx. per word bound = -6.619, relative change = 1.750e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 51 (approx. per word bound = -6.619, relative change = 1.871e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 52 (approx. per word bound = -6.618, relative change = 2.071e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 53 (approx. per word bound = -6.618, relative change = 1.852e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 54 (approx. per word bound = -6.618, relative change = 2.136e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 55 (approx. per word bound = -6.618, relative change = 2.135e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, levels 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, colleges 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 56 (approx. per word bound = -6.618, relative change = 1.901e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 57 (approx. per word bound = -6.618, relative change = 2.047e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 58 (approx. per word bound = -6.618, relative change = 2.087e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 59 (approx. per word bound = -6.617, relative change = 1.987e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 60 (approx. per word bound = -6.617, relative change = 1.946e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, services, family, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 61 (approx. per word bound = -6.617, relative change = 2.190e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 62 (approx. per word bound = -6.617, relative change = 1.619e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 63 (approx. per word bound = -6.617, relative change = 1.265e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 64 (approx. per word bound = -6.617, relative change = 1.115e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 65 (approx. per word bound = -6.617, relative change = 1.103e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 66 (approx. per word bound = -6.617, relative change = 1.181e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 67 (approx. per word bound = -6.617, relative change = 1.097e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 68 (approx. per word bound = -6.617, relative change = 1.229e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 69 (approx. per word bound = -6.617, relative change = 1.359e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 70 (approx. per word bound = -6.616, relative change = 1.236e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, factors 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, parenting, study, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 71 (approx. per word bound = -6.616, relative change = 1.486e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 72 (approx. per word bound = -6.616, relative change = 1.721e-05) 
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Completed E-Step (0 seconds). 
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Completing Iteration 73 (approx. per word bound = -6.616, relative change = 1.683e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 74 (approx. per word bound = -6.616, relative change = 1.561e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 75 (approx. per word bound = -6.616, relative change = 1.161e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, family 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 76 (approx. per word bound = -6.616, relative change = 1.121e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 77 (approx. per word bound = -6.616, relative change = 1.269e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 78 (approx. per word bound = -6.616, relative change = 1.417e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 79 (approx. per word bound = -6.616, relative change = 2.056e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 80 (approx. per word bound = -6.615, relative change = 2.923e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, family 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 81 (approx. per word bound = -6.615, relative change = 2.327e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 82 (approx. per word bound = -6.615, relative change = 1.519e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 83 (approx. per word bound = -6.615, relative change = 1.608e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 84 (approx. per word bound = -6.615, relative change = 1.413e-05) 
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Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 85 (approx. per word bound = -6.615, relative change = 1.565e-05) 
Topic 1: students, online, college, academic, research 
 Topic 2: students, college, study, families, family 
 Topic 3: students, college, family, services, study 
 Topic 4: social, students, family, college, study 
 Topic 5: students, american, asian, college, study 
 Topic 6: students, college, study, care, foster 
 Topic 7: students, learning, sexual, study, college 
 Topic 8: students, family, college, latina, o 
 Topic 9: college, students, families, education, study 
 Topic 10: students, college, study, data, academic 
 Topic 11: students, college, stress, support, family 
 Topic 12: education, students, knowledge, college, higher 
 Topic 13: students, college, study, faculty, family 
 Topic 14: college, students, school, study, high 
 Topic 15: students, stem, study, latino, career 
 Topic 16: health, students, mental, college, study 
 Topic 17: students, study, nursing, undergraduate, family 
 Topic 18: students, enrollment, college, dual, study 
 Topic 19: students, college, development, study, family 
 Topic 20: students, support, college, study, disabilities 
 Topic 21: students, college, first-generation, study, experiences 
 Topic 22: students, risk, family, college, cancer 
 Topic 23: students, college, study, parenting, career 
 Topic 24: students, college, community, school, rural 
 Topic 25: community, college, students, student, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 86 (approx. per word bound = -6.615, relative change = 1.385e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Model Converged 
Beginning Spectral Initialization 
     Calculating the gram matrix...
     Finding anchor words...
    ..................................................
     Recovering initialization...
    ............................................................................................
Initialization complete.
....................................................................................................
Completed E-Step (3 seconds). 
Completed M-Step. 
Completing Iteration 1 (approx. per word bound = -7.121) 
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Completed E-Step (2 seconds). 
Completed M-Step. 
Completing Iteration 2 (approx. per word bound = -6.468, relative change = 9.178e-02) 
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Completed E-Step (2 seconds). 
Completed M-Step. 
Completing Iteration 3 (approx. per word bound = -6.355, relative change = 1.740e-02) 
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Completed E-Step (2 seconds). 
Completed M-Step. 
Completing Iteration 4 (approx. per word bound = -6.320, relative change = 5.530e-03) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 5 (approx. per word bound = -6.305, relative change = 2.395e-03) 
Topic 1: students, online, college, writing, university 
 Topic 2: families, students, college, de, new 
 Topic 3: college, students, services, support, family 
 Topic 4: social, students, media, family, study 
 Topic 5: students, american, college, study, community 
 Topic 6: students, college, foster, care, study 
 Topic 7: agriculture, college, resistance, coping, students 
 Topic 8: college, students, latina, family, o 
 Topic 9: college, students, community, educational, first-generation 
 Topic 10: students, study, tutoring, private, college 
 Topic 11: stress, students, college, study, international 
 Topic 12: education, students, college, study, higher 
 Topic 13: students, faculty, college, study, fcs 
 Topic 14: college, students, school, study, high 
 Topic 15: stem, students, study, college, transfer 
 Topic 16: health, mental, students, college, family 
 Topic 17: students, colleges, research, selected, study 
 Topic 18: students, college, enrollment, dual, credit 
 Topic 19: students, development, college, factors, family 
 Topic 20: students, support, college, study, community 
 Topic 21: college, students, first-generation, study, experiences 
 Topic 22: cancer, students, breast, risk, family 
 Topic 23: college, students, adjustment, study, parenting 
 Topic 24: students, school, college, rural, community 
 Topic 25: students, college, community, success, student 
 Topic 26: students, learning, college, study, community 
 Topic 27: students, financial, college, student, study 
 Topic 28: students, college, student, study, tuition 
 Topic 29: students, college, motivation, study, pta 
 Topic 30: students, student, health, college, transfer 
 Topic 31: career, students, college, study, research 
 Topic 32: college, students, choice, undocumented, study 
 Topic 33: students, american, asian, college, study 
 Topic 34: family, students, college, support, study 
 Topic 35: language, students, anxiety, college, well-being 
 Topic 36: students, first, college, generation, year 
 Topic 37: students, participants, college, depression, symptoms 
 Topic 38: students, food, information, college, covid-19 
 Topic 39: students, asian, college, experiences, study 
 Topic 40: students, family, victimization, college, support 
 Topic 41: academic, students, college, study, family 
 Topic 42: students, cultural, study, college, black 
 Topic 43: students, knowledge, attitude, regarding, nursing 
 Topic 44: students, college, outcomes, used, positive 
 Topic 45: students, distress, study, college, family 
 Topic 46: students, college, study, latinx, career 
 Topic 47: sexual, assault, violence, students, barriers 
 Topic 48: college, students, study, support, social 
 Topic 49: college, students, transition, school, disabilities 
 Topic 50: native, students, higher, institution, college 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 6 (approx. per word bound = -6.298, relative change = 1.178e-03) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 7 (approx. per word bound = -6.294, relative change = 6.119e-04) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 8 (approx. per word bound = -6.291, relative change = 3.872e-04) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 9 (approx. per word bound = -6.289, relative change = 3.279e-04) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 10 (approx. per word bound = -6.288, relative change = 2.320e-04) 
Topic 1: students, online, college, writing, community 
 Topic 2: families, students, college, de, new 
 Topic 3: college, students, services, support, family 
 Topic 4: social, students, media, family, college 
 Topic 5: students, american, college, study, community 
 Topic 6: students, college, foster, study, care 
 Topic 7: agriculture, college, resistance, coping, students 
 Topic 8: college, students, latina, family, o 
 Topic 9: college, students, community, study, first-generation 
 Topic 10: students, study, education, tutoring, college 
 Topic 11: students, stress, college, study, international 
 Topic 12: education, students, college, study, higher 
 Topic 13: students, faculty, college, study, social 
 Topic 14: college, students, school, study, high 
 Topic 15: stem, students, study, college, transfer 
 Topic 16: health, mental, students, college, family 
 Topic 17: students, colleges, research, selected, college 
 Topic 18: students, college, enrollment, dual, study 
 Topic 19: students, development, college, factors, family 
 Topic 20: students, support, college, study, community 
 Topic 21: college, students, first-generation, study, experiences 
 Topic 22: cancer, students, breast, family, risk 
 Topic 23: college, students, adjustment, study, parenting 
 Topic 24: students, college, school, rural, community 
 Topic 25: students, college, community, success, student 
 Topic 26: students, learning, college, study, community 
 Topic 27: financial, students, college, student, study 
 Topic 28: students, college, student, study, tuition 
 Topic 29: students, college, motivation, academic, study 
 Topic 30: students, student, health, college, transfer 
 Topic 31: career, students, college, study, research 
 Topic 32: students, college, choice, undocumented, study 
 Topic 33: students, american, asian, college, study 
 Topic 34: students, family, college, support, participants 
 Topic 35: language, students, anxiety, college, symptoms 
 Topic 36: students, first, college, year, generation 
 Topic 37: students, participants, college, depression, symptoms 
 Topic 38: students, food, information, college, community 
 Topic 39: students, asian, college, experiences, study 
 Topic 40: students, family, college, victimization, support 
 Topic 41: students, academic, college, study, family 
 Topic 42: students, cultural, study, college, black 
 Topic 43: students, knowledge, attitude, regarding, nursing 
 Topic 44: students, college, outcomes, used, positive 
 Topic 45: students, distress, college, study, family 
 Topic 46: students, college, study, latinx, social 
 Topic 47: sexual, assault, violence, students, college 
 Topic 48: college, students, study, support, social 
 Topic 49: college, students, transition, school, disabilities 
 Topic 50: native, students, higher, institution, college 
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Completing Iteration 11 (approx. per word bound = -6.287, relative change = 1.301e-04) 
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Completing Iteration 12 (approx. per word bound = -6.286, relative change = 7.680e-05) 
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Completing Iteration 13 (approx. per word bound = -6.286, relative change = 5.577e-05) 
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Completing Iteration 14 (approx. per word bound = -6.286, relative change = 4.915e-05) 
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Completing Iteration 15 (approx. per word bound = -6.286, relative change = 3.540e-05) 
Topic 1: students, college, online, writing, community 
 Topic 2: families, students, college, de, study 
 Topic 3: college, students, services, family, support 
 Topic 4: social, students, media, family, college 
 Topic 5: students, american, college, study, community 
 Topic 6: students, college, foster, study, care 
 Topic 7: agriculture, college, resistance, coping, students 
 Topic 8: college, students, latina, family, o 
 Topic 9: college, students, community, study, first-generation 
 Topic 10: students, study, education, tutoring, college 
 Topic 11: students, stress, college, study, international 
 Topic 12: education, students, college, study, higher 
 Topic 13: students, faculty, college, study, social 
 Topic 14: college, students, school, study, high 
 Topic 15: stem, students, study, college, education 
 Topic 16: health, mental, students, college, family 
 Topic 17: students, colleges, research, college, family 
 Topic 18: students, college, enrollment, dual, study 
 Topic 19: students, development, college, factors, family 
 Topic 20: students, support, college, study, community 
 Topic 21: college, students, first-generation, study, experiences 
 Topic 22: cancer, students, breast, family, risk 
 Topic 23: college, students, adjustment, study, parenting 
 Topic 24: students, college, school, rural, community 
 Topic 25: students, college, community, student, success 
 Topic 26: students, learning, college, study, community 
 Topic 27: financial, students, college, student, study 
 Topic 28: students, college, student, study, tuition 
 Topic 29: students, college, motivation, academic, social 
 Topic 30: students, student, health, college, transfer 
 Topic 31: career, students, college, study, research 
 Topic 32: students, college, choice, undocumented, study 
 Topic 33: students, american, asian, college, study 
 Topic 34: students, family, college, support, participants 
 Topic 35: language, students, anxiety, college, symptoms 
 Topic 36: students, first, college, generation, year 
 Topic 37: students, participants, college, depression, symptoms 
 Topic 38: students, food, information, college, community 
 Topic 39: students, asian, college, experiences, study 
 Topic 40: students, family, college, victimization, support 
 Topic 41: students, academic, college, study, family 
 Topic 42: students, cultural, study, college, black 
 Topic 43: students, knowledge, attitude, regarding, nursing 
 Topic 44: students, college, outcomes, used, positive 
 Topic 45: students, distress, college, study, family 
 Topic 46: students, college, study, latinx, social 
 Topic 47: sexual, assault, violence, students, barriers 
 Topic 48: college, students, study, support, social 
 Topic 49: college, students, transition, disabilities, school 
 Topic 50: native, students, higher, institution, college 
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Completed E-Step (1 seconds). 
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Completing Iteration 16 (approx. per word bound = -6.285, relative change = 2.315e-05) 
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Completing Iteration 17 (approx. per word bound = -6.285, relative change = 1.462e-05) 
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Completing Iteration 18 (approx. per word bound = -6.285, relative change = 1.282e-05) 
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Completed E-Step (1 seconds). 
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Model Converged 
plot(differentKs)

cor_topic_model <- stm(dfm_topic, K = 25,
                   verbose = FALSE, init.type = "Spectral")
labelTopics(cor_topic_model)
Topic 1 Top Words:
     Highest Prob: students, de, black, program, education, study, experiences 
     FREX: pta, y, en, que, de, las, plagiarism 
     Lift: ad, chetty, como, con, del, estudio, feminidad 
     Score: de, y, en, el, pta, sss, que 
Topic 2 Top Words:
     Highest Prob: students, college, school, high, study, transition, disabilities 
     FREX: asd, disabilities, disability, readiness, college-going, school, high 
     Lift: 18–23, 7th, 90-minute, activate, actualized, amass, anecdotal 
     Score: disabilities, college-going, asd, readiness, disability, autism, school 
Topic 3 Top Words:
     Highest Prob: college, students, first-generation, study, educational, family, education 
     FREX: low-income, marriage, becoming, educational, narrative, first-generation, admission 
     Lift: 2010s, abandoned, athletic, daiute, edutainment, nces, pregnancy 
     Score: marriage, low-income, first-generation, seapi, tna, ged, fgc 
Topic 4 Top Words:
     Highest Prob: student, students, financial, college, study, support, family 
     FREX: debt, memorials, veteran, sponsor, financial, resistance, loans 
     Lift: constrain, intramural, sponsor, accumulates, borrow, borrowers, borrowing 
     Score: debt, memorials, veteran, sponsor, memorial, masculinities, borrowing 
Topic 5 Top Words:
     Highest Prob: students, social, college, study, capital, media, family 
     FREX: tutoring, media, addiction, private, voting, initiative, capital 
     Lift: saps, 1-semester, 13th, 15-item, 18-years, 24-year-old, 26th 
     Score: media, addiction, tutoring, voting, leisure, trio-sss, capital 
Topic 6 Top Words:
     Highest Prob: students, college, school, rural, high, study, community 
     FREX: rural, foster, s, readiness, latinx, counselors, school 
     Lift: 1985-1995, 20-30, 2005-2015, 2016–2021, abc, abject, acknowledges 
     Score: rural, latinx, principals, foster, readiness, school, instructions 
Topic 7 Top Words:
     Highest Prob: students, learning, college, study, online, community, courses 
     FREX: self-advocacy, learning, adhd, ld, older, intergenerational, courses 
     Lift: accommodations, aging, at-promise, autistic, cctps, fys, novice 
     Score: adhd, ld, intergenerational, self-advocacy, empathy, tslc, older 
Topic 8 Top Words:
     Highest Prob: college, study, students, research, data, interviews, experiences 
     FREX: themes, interview, case, interviews, qualitative, questions, decision 
     Lift: abe, publications, self‐efficacy, 18-to-24, 18–22, 2020–2021, 4s 
     Score: abe, themes, rural, grit, choice, theme, fgcs 
Topic 9 Top Words:
     Highest Prob: students, developmental, college, mathematics, agriculture, family, study 
     FREX: agriculture, developmental, mathematics, beliefs, treatment, advisors, pathways 
     Lift: cardiac, abnormalities, accentuated, adt, adts, advisee's, aeds 
     Score: agriculture, developmental, mathematics, cardiac, cte, chemical, depression 
Topic 10 Top Words:
     Highest Prob: students, family, college, undergraduate, study, among, families 
     FREX: overcommitment, undergraduate, non-suicidal, frustration, marital, wfc, internet 
     Lift: overcommitment, 148-196, 20-23, 24-year, 99-147, addicted, addictive 
     Score: overcommitment, cyberbullying, non-suicidal, internet, incivility, cross-cultural, marital 
Topic 11 Top Words:
     Highest Prob: students, college, first, study, generation, academic, student 
     FREX: generation, first, attrition, retention, year, gpa, first-year 
     Lift: -­, 1-1, 1-hour, 1.0-point, 18-21, 2011–2016, 31-survey 
     Score: generation, attrition, retention, first, gpa, fgs, at-risk 
Topic 12 Top Words:
     Highest Prob: family, students, academic, cancer, breast, college, study 
     FREX: breast, aces, cancer, suicidal, sexual, ideation, probation 
     Lift: colombia, dental, detection, familism, fcp, home-school, hopelessness 
     Score: breast, cancer, aces, suicidal, non-hispanic, ideation, assault 
Topic 13 Top Words:
     Highest Prob: students, college, anxiety, language, study, negative, among 
     FREX: language, somatic, anxiety, foreign, attachment, maltreatment, vi 
     Lift: ami, aptitude, children's, gaming, rq, shlls, somatic 
     Score: anxiety, somatic, foreign, maltreatment, surface, lb, attachment 
Topic 14 Top Words:
     Highest Prob: support, students, family, college, social, risk, study 
     FREX: pa, risk, adjustment, alcohol, childhood, sleep, cvd 
     Lift: abp, actigraphy, borsari, buffered, civilian, corporal, csp 
     Score: pa, alcohol, adjustment, cvd, β, lt, ss 
Topic 15 Top Words:
     Highest Prob: students, college, dual, enrollment, study, covid-19, student 
     FREX: dual, credit, marketing, digital, pandemic, aap, enrollment 
     Lift: peruvian, 1.25–9.42, cost-related, digitally, foods, g.p.a, hesitancy 
     Score: dual, credit, marketing, digital, aap, enrollment, covid-19 
Topic 16 Top Words:
     Highest Prob: knowledge, students, attitude, study, college, regarding, nursing 
     FREX: donation, hpv, attitude, organ, vaccination, blood, knowledge 
     Lift: aor, b.sc, celiac, cervical, chd, congenital, defects 
     Score: attitude, donation, vaccination, hpv, vaccine, nursing, organ 
Topic 17 Top Words:
     Highest Prob: career, stem, students, college, study, research, interest 
     FREX: stem, career, computing, hmong, fields, fgc, science 
     Lift: 1900s, abstractfirst-generation, affectivity, agentic, annie, aversions, avoidance-specifically 
     Score: stem, career, computing, fgc, college-run, cpas, differentiation 
Topic 18 Top Words:
     Highest Prob: students, college, community, student, study, transfer, support 
     FREX: native, belonging, nontraditional, transfer, community, sense, staff 
     Lift: impostor, 1st-year, 2023a, 3-year, accommodate, accommodated, accommodating 
     Score: native, transfer, trans, belonging, nontraditional, appalachian, vitality 
Topic 19 Top Words:
     Highest Prob: health, students, mental, college, family, study, symptoms 
     FREX: mental, health, help-seeking, smoking, symptoms, stressors, depressive 
     Lift: adversities, bipolar, cannabis, cbt, cf, charlas, clinician 
     Score: mental, health, symptoms, smoking, help-seeking, depressive, distress 
Topic 20 Top Words:
     Highest Prob: students, college, education, experiences, study, disabilities, higher 
     FREX: impairments, loc, visual, disabilities, cld, impairment, poverty 
     Lift: cld, impairments, returns, scorecard, 3-fold, 4-week, abusing 
     Score: visual, loc, cld, impairments, disabilities, impairment, el 
Topic 21 Top Words:
     Highest Prob: students, education, colleges, college, study, universities, research 
     FREX: pt, tuition, universities, tvet, homeschool, veterans, physical 
     Lift: 2017-18, egsece, g.i, georgetown, gifts, goodman, inflation 
     Score: pt, tuition, ece, homeschool, resets, tvet, nsos 
Topic 22 Top Words:
     Highest Prob: students, college, parents, family, stress, study, first-generation 
     FREX: parents, relational, coping, resilience, stress, messages, trans 
     Lift: behaviours, cheating, first-gen, henryism, race-specific, sounding, suspect 
     Score: coping, trans, maintenance, stress, resilience, relational, first-gen 
Topic 23 Top Words:
     Highest Prob: students, american, asian, college, family, study, higher 
     FREX: asian, writing, american, americans, ei, south, center 
     Lift: math-related, mmiw, 2010–2011, advocators, aian, augmenting, breakfast 
     Score: asian, american, victimization, writing, ei, fbcu, south 
Topic 24 Top Words:
     Highest Prob: college, students, study, community, cultural, experiences, latinx 
     FREX: wealth, o, latina, engineering, inferiority, latinx, identity 
     Lift: engineer, 10-week, 6-8, aauw, absolute, accredited, accumulating 
     Score: inferiority, latinx, latina, engineering, o, wealth, capital 
Topic 25 Top Words:
     Highest Prob: academic, students, support, success, college, study, first-generation 
     FREX: latino, success, academic, retention, challenges, faculty, completion 
     Lift: accomplishments, alienation, bettinger, chancellor’s, collegial, cross-referenced, deficit-focused 
     Score: latino, first-generation, success, african-american, male, retention, completion 
findThoughts(cor_topic_model,
    texts = Text_Data$Abstract,
    topics = c(1:25),
    n = 1)

 Topic 1: 
     Resumen: El propósito de esta investigación fue analizar la relación entre las funciones ejecutivas frías (FEf) y la gestión del aprendizaje autorregulado (GAAR) en universitarios, siguiendo la hipótesis de que existe una relación positiva y significativa entre ambas variables. El estudio fue de tipo cuantitativo de corte transversal, con enfoque correlacional, descriptivo e inferencial. La muestra fue de tipo no probabilística incidental, compuesta por n = 379 estudiantes universitarios de carreras de pedagogía, el 64,1% eran hombres y el 35,9% mujeres, de edades entre 17 y 34 años (M = 19,82, SD = 2,41). Los resultados muestran que existe una asociación fuerte entre funciones ejecutivas frías y gestión del aprendizaje autorregulado, dado que un alto rendimiento en FEf implicaría un alto rendimiento en Gestión del Aprendizaje. También se observa un valor predictor de la FEf de planificación sobre la GAAR, es decir, que un buen nivel de planificación implicaría una adecuada gestión de los procesos de aprendizaje. El aporte original de este estudio es presentar evidencias para que en los planes de apoyo a estudiantes universitarios se consideren estrategias que mejoren sus habilidades en las FEf detectadas, dado el impacto negativo que el fracaso en la educación superior tiene para el estudiante, sus familias y el sistema universitario. Finalmente, creemos que es necesario seguir profundizando en estas variables y en su influencia sobre el desempeño académico en la educación superior. 
 Topic 2: 
     While many studies of college choice have focused on whether high schools have a general “college-going culture,” this dissertation considers the specific nature of college preparation and support that is conducive to elite college enrollment. This qualitative study examines the college preparation and choice process of high achieving students in two urban, selective admission public high schools where most students were from poor or working class families. Both schools had a college going-culture but neither had developed an elite college-going culture. As a result, some students did not apply to elite colleges when they were qualified. Other students did not have the opportunity to adequately prepare for elite college admissions, despite very high academic achievement. This study relied on in depth interviews and observations. Interviews with thirty high achieving 12 th grade students provide a detailed account of their course taking, college application and choice process. Interviews with fifteen teachers shed light on how they advised students about college preparation and choice. In addition, participant observation in counselors’ offices and in college recruitment sessions revealed how students learned about the landscape of higher education. I identify three aspects of the high school experience that deterred elite college enrollment among high achieving students. First, students were unable to access high-level courses that would facilitate their access to elite colleges. Additionally, students and teachers alike were often unaware of the importance of taking high-level courses, such as calculus, for elite college admission. Second, students at both schools had minimal access to recruiters from elite colleges. Not only were recruiters from non-elite and non-selective colleges more likely to visit, they were more effective in addressing students’ concerns about cost, transportation and standard of living in college. Finally, many teachers and students doubted that an elite college education was desirable. Teachers had limited familiarity with elite colleges. Moreover, because of the concerns about student debt, teachers actively deterred students from any private institution. Overall, the study helps to explain the role high schools can play in limiting students’ opportunities to enroll in elite colleges and universities. 
 Topic 3: 
     College enrollment rates are increasing across the nation at both 2-year and 4-year institutions (NCES, 2015). Nearly two-thirds of undergraduate students are under the age of 25 and enrollment numbers are increasing for every racial and ethnic group (NCES, 2012). The first year of college is often a critical time for growth and development for students who are transitioning from high school to college. As such, there is a call to restructure the first year of college by finding new ways to support student success (Tinto, 1993, 2002). This call is, however, in response to limited knowledge of the transition to college from students’ perspectives. Before we can restructure, scholars and educators need to better understand the transition to college: the process of becoming a college student. This dissertation study investigates how students make sense of their experience and process of becoming college students over time. This study examined the transition to college over time from multiple perspectives—highlighting the perspectives of a diverse group of first-time college students in relation to the institution—in a large urban city university. Student narratives across multiple genres (i.e., letter to self, define a college student, and bio for website) in conjunction with responses to a questionnaire about expectations and experiences were elicited at two critical time points: prior to attending college and after the completion of the first semester. Prior to attending college, 25 students participated in the study. Twenty of these students participated after the completion of the first semester. Faculty (n = 5) narratives and the college’s mission statement were also collected and analyzed to explore the relationship between student, faculty and institution sense-making. This study used a mixed-methods approach to bring forth a detailed account about the fluidity and complexity that characterizes the process of becoming college students; thereby, capturing the transition to college as a life activity of growth and development. Through the use of an activity-meaning system design and rigorous narrative analysis (Daiute, 2014), a variability of perspectives across participants and time was hypothesized. The theoretical and methodological foundation for this study posits that becoming a college student is a dynamic and relational process mediating adult development and that student expectations prior to college are related to their experiences in college. Recognizing that the meaning of becoming colleges students emerges from diverse perspectives and for diverse purposes and audiences, this study highlights different stakeholders’ interactions in a social system (i.e., public city college.) Values analysis (Daiute, 2014) was used to identify expressed diverse meanings and sense-making by different participants about the transition to college as a developmental life activity. Values are the guiding principles that individuals enact in their lives and which shape the ways individuals make sense of and understand their world as well as how they fit into different situations and contexts (Daiute, 2014). Values analysis revealed that for first-time college students, becoming an adult on one’s own terms, adopting a new work ethic, and becoming “somebody” are consistently important values over time, but in different ways. becoming an adult on one’s own terms was the most important value across all three genres, but it became less important across all genres after the first semester. In contrast, adopting a new work ethic became more important over time across all genres. becoming “somebody” in the future grew in importance over time in the letter to self and defining a college student narratives, but was absent in the bio for website genre. Adopting a new label and embracing uncertainty, on the other hand, are unique values; their importance is tied to particular narrative genres. The institutional perspective (i.e., college faculty and mission statement) emphasizes promoting diversity; faculty members’ narratives and the college’s mission statement are aligned in this respect. Although becoming an adult on one’s own terms is also expressed by the institution, faculty responses and the college’s mission statement center on different sub-values about what is important. Additionally, students’ expectations about engaging in specific practices, such as making friends with people from different family backgrounds or using campus recreational facilities, were generally not related to their experiences; however, their overall expectations about connecting with new people and pursuing new experiences were positively related to their reported experiences. Nevertheless, students expected to partake in these activities more often than they did. This study’s mixed methods research design serves as a template for future studies aiming to capture the complexity of the transition to college as a developmental phenomenon and its dynamic interaction with broader social contexts. (Abstract shortened by ProQuest.) 
 Topic 4: 
     Výzkum se zaměřil na posílení postavení studentek za účelem společenské transformace na Tangaza University College, jejíž základní hodnoty jsou tvořeny katolickou sociální naukou. Tato vysoká škola poskytuje vysokoškolské vzdělání mladým lidem, kteří by jinak neměli možnost studovat na vysoké škole. Z více než 2 000 vysokoškolských studentů jich 1 500 dostává částečné nebo plné stipendium. Cílem studie bylo zjistit, jak Tangaza naplňuje své poslání vzdělávat k společenské transformaci, a to na základě odpovědí studentek z rodin s nízkými až velmi nízkými příjmy. Jedná se o dvě skupiny: studentky převážně z oblastí squattů ve městě Nairobi a věřící ženy pocházející především z vesnic, kde je základní a střední vzdělání žalostně nedostatečné. Tato studie využívá syntézu teorií posílení postavení vypracovanou sociologem Mannem Hyung Hurem. Výsledky ukázaly, jak vzdělávání pro společenskou transformaci na vysoké škole Tangaza posílilo postavení jejích studentek ve třech oblastech: osobním růstu, pracovních dovednostech a společenské odpovědnosti. V těchto třech kategoriích však existují různé stupně posílení postavení. Byla provedena analýza rozdílů mezi těmito třemi oblastmi posílení a byla formulována doporučení. Zkoumaný vzorek tvoří absolventky Tangaza University College z období školních let 2010-2017. 
 Topic 5: 
     The purpose of this study is to investigate the relationship between private tutoring and Chinese students’ Gaokao (National College Entrance Exam, NCEE) performance including other potential factors (e.g. gender, registered residence status, family SES, academic track, etc.). Specifically, this study examines three goals: a) the difference between students who choose to participate in private tutoring and students who does not choose to participate in private tutoring in terms of their background information, b) the factors influencing students’ Gaokao performance, and c) the mechanism of how private tutoring and other factors influence students’ Gaokao performance. This study adopts three theoretical perspectives to explore the relationship between private tutoring and Chinese students’ Gaokao performance: 1) Dang and Rogers’ (2008) supply and demand framework in education with private tutoring; 2) Beruvides’ (1997) learning curve model with threshold region; and 3) the educational production function (Hanushek, 1979). The supply and demand framework in education with private tutoring helps people understand the interaction of supply and demand for public education (and private tutoring) in different situations. It indicates that households can consume more education after public education cannot meet their demand when the private tutoring is available (Dang &amp; Rogers, 2008). The learning theory and the learning curve model provide a crucial framework to explain why parents and students demand private tutoring. By adopting the educational production function, this study was able to investigate the relationship between private tutoring and students’ Gaokao performance. In this study, a survey on students’ shadow education participation was developed as the instrument. This study employed a quantitative approach. Descriptive statistics were used to examine students’ background characteristics, students’ family socioeconomic status, and private tutoring participation information. Independent samples t-tests and chi-square tests were conducted to identify the differences between students who participated in private tutoring before college and those who did not. Multiple regression analyses were administrated to investigate the factors (including private tutoring) that influence students’ Gaokao score. A Path analysis was employed to measure the robustness of a proposed model. The results indicated that students who participated in private tutoring had the characteristics that much more being female, more had non-agricultural registered residence status, lived in the urban areas and chose the social science track in high school. Less of them were first generation college students. In terms of the variables measuring participants’ financial status, students who participated in private tutoring were more likely to have an apartment or a house and to have internet access and air conditioners at home. However, less of these students reported being top 20% of the class during high school. The results of independent samples t-tests and Pearson chi-square tests indicated that there is statistically significant difference in background characteristics including, parental education level, class rank in high school, gender, registered residence status, location of residence, and academic track in high school, between students who participated in private tutoring and students who did not participate in private tutoring. The multiple regression analysis showed that gender, class rank in high school, academic track, parental educational level, and private tutoring were statistically significant factors on students’ Gaokao performance. The path analysis indicated that students with longer private tutoring participation time had lower Gaokao score. In author’s opinion, the negative effects of private tutoring on Gaokao score suggested that private tutoring was employed by students for a compensatory or remedial purpose. Rather than helping good students become better students, private tutoring served a role that helping students with lower academic achievement to prevent their study from being worse. Further research is needed to have a better understanding about this phenomenon. 
 Topic 6: 
     The ongoing global COVID-19 pandemic has exacerbated educational inequities for students from institutionally marginalized communities. This article specifically examines the college (in)opportunities and conscious choices of rural Latinx students from California’s San Joaquin Valley as they pursued higher education during the pandemic. This article applies a Critical Race Spatial Analysis (CRSA) framework to analyze the intersections of race, space, and college (in)opportunity for rural Latinx students. Additionally, this article draws on a college-conocimiento framework to argue that despite navigating deep-seated sociospatial inequities, rural Latinx students still enrolled in college. Using Chicana/Latina feminist pláticas and geographic information systems (GIS), this article takes a mixed methods research approach to analyze rural Latinx students’ college (in)opportunities and conscious choices during the COVID-19 pandemic, which disproportionately impacted their im/migrant farm working families and communities. Results from the pláticas and maps revealed that rural Latinx students lacked access to quality technological devices, internet infrastructure, high speed internet, and college information and guidance. Still, rural Latinx students enrolled in colleges that aligned with their and their families’ financial and emotional realities during the ongoing pandemic. The article concludes by providing rural Latinx-serving school districts with recommendations for increasing college access amid and beyond the COVID-19 pandemic. 
 Topic 7: 
     Background Though common practice in Europe, few studies have described the efficacy of early clinical exposure (ECE) in the Middle East. The barriers to clinical learning experienced by these novice medical students have not been reported. This evaluation reports on introducing ECE in primary care, supported by Experiential Review (ER) debriefing sessions. The evaluation explores students’ experiences of their acquisition of clinical and non-technical skills, sociocultural issues commonly encountered but underreported and barriers to clinical learning experienced. Methods We conducted a cross-sectional study of three student cohorts in 2017–19: All second and third-year students at the new College of Medicine were invited to participate. The primary outcome was students’ perceptions of the aims of the Primary Health Centre Placement (PHCP) programme and how it facilitated learning. Secondary outcome measures were students’ perceptions of their learning in ER sessions and perceived barriers to learning during PHCPs. Student perceptions of the PHCPs were measured using a Likert scale-based questionnaire. Results One hundred and fifty-one students participated: 107 in year 2 and 44 in year 3; 72.3% were female. Overall, most students (&gt; 70%) strongly agreed or agreed with the purposes of the PCHPs. Most students (71%) strongly agreed or agreed that the PCHPs allowed them to learn about patient care; 58% to observe doctors as role models and 55% to discuss managing common clinical problems with family physicians. Most students (year 2 = 62.5% and year 3 = 67%) strongly agreed/agreed that they were now confident taking histories and examining patients. Student barriers to clinical learning included: Unclear learning outcomes (48.3%); faculty too busy to teach (41.7%); lacking understanding of clinical medicine (29.1%); shyness (26.5%); and finding talking to patients difficult and embarrassing (25.8%). Over 70% reported that ER enabled them to discuss ethical and professional issues. Conclusions Overall, our Middle Eastern students regard ECE as beneficial to their clinical learning. PHCPs and ER sessions together provide useful educational experiences for novice learners. We recommend further exploration of the barriers to learning to explore whether these novice students’ perceptions are manifesting underlying cultural sensitivities or acculturation to their new environment. 
 Topic 8: 
     The purpose of this explanatory mixed methods study with qualitative single case study and descriptive quantitative analysis is to explore how familial and cultural factors, along with factors used in positive psychology, influenced psychological grit in Latinx college students at a regional university in the Pacific Southwest. The nature of this study is to explore a gap in literature to better understand the formation of psychological grit of Latinx students as well as to shed light on a current problem space in higher education today. The research questions ask “how” questions. How do Latinx college students describe the ways that family/culture influences the formation of psychological grit? And how do Latinx college students describe the ways hope, courage, finding purpose, and faith (positive psychology factors) influence the formation of psychological grit? The theoretical foundations of this study included positive psychology, a useful framework for understanding college students’ achievement and outlook, as well as psychological grit theory. Data sources are made up of an online survey which includes demographic data, the Grit S-Scale, open-ended questions, semi-structured participant interviews, and data noted in an analytic memo. Data is analyzed by thematic analysis involving a deductive coding approach and descriptive statistics. Recommendations for further research on psychological grit using a positive psychology framework are presented. 
 Topic 9: 
     Cardiac arrest during training and sports participation is a leading cause of unexpected deaths and post-arrest disabilities in NCAA athletes. The risk of SCD is higher in male and African-American athletes and appears to be disproportionately high in men's basketball players. Cardiovascular screening in athletes should include a standardized personal and family history and a physical examination. ECG screening can increase the sensitivity to detect potentially lethal cardiac conditions if physician training is improved and cardiology expertise is available. If ECG screening is used ECGs should be interpreted with modern standards that distinguish physiological changes from findings associated with pathological cardiac disorders. Secondary testing of screening abnormalities and management of identified cardiac disorders should be carried out in consultation with skilled cardiovascular specialists. All NCAA member institutions should have an established EAP to respond to an athlete with a cardiac emergency who has collapsed, is not breathing normally or only gasping, and is unresponsive, including the availability of AEDs at all sporting facilities. 
 Topic 10: 
     Historically, a college or university’s main constituencies of interest were students, faculty, staff, and alumni (Bok, 2013; Donovan &amp; McKelfresh, 2008; Wartman &amp; Savage, 2008). In recent years, parents and families have claimed their own place in the university ecosystem: “the student-parent-institution dynamic has evolved from the doctrine of in loco parentis , with parents expecting the university to take care of their children, to this new situation where parents have a direct relationship with the university” (Sax &amp; Wartman, 2010, p. 220). Colleges have responded to families’ desire for engagement by creating parent and family relations offices that provide programs and services for families (Savage &amp; Petree, 2017). However, little empirical research exists to measure the relationship between parents and families and their student’s college, or the ways in which parent and family engagement could impact behaviors of interest to the school. The purpose of this study was to examine the ways in which parents and families interact with their students’ college following institutionally-sponsored engagement opportunities, and the resulting behavioral outcomes or attitudes that follow. This study used two-step cluster analysis to classify undergraduate parents and families ( N = 1,001) at Wilson University (a pseudonym), the Southern, mid-sized university that was the focus of this study. Clustering of families was based on three types of school-sponsored engagement: attendance at Orientation (one-time engagement), readership of a monthly e-newsletter (semi-regular engagement), and readership of the Family 411 (pseudonym) daily blog (continuous engagement). Specific outcomes that were measured were parent and family intervention with administrators on the student’s behalf, sense of satisfaction with the institution, and charitable giving. This study draws upon Uses and gratifications theory and Organization-Public Relations (OPR) in examining family behaviors. Findings from the study show that there were statistically significant differences in intervention, satisfaction, and charitable giving among six clusters of Wilson University families. Post hoc pairwise comparisons revealed that those differences tended to be concentrated among clusters who had sizeable differences in their consumption of the Family 411 blog, or who did or did not attend Orientation. Overall, the families who were most engaged via Orientation attendance, blog reading, and e-newsletter reading intervened less, were more satisfied with the school, and made more charitable contributions. Further research is needed to determine how demographic differences between clusters may have contributed to those family behaviors. This study contributes to the literature by being the first known empirical study that investigates how a daily blog relates to the behavior of college parents and families, and begins to fill a gap in the knowledge of how to use blogs as a family engagement tool. Implications for practice include encouraging family relations offices to consider adding blogs to their family engagement offerings to create continuous engagement and using cluster analysis to understand the unique needs and behaviors of segments of their parent and family population. 
 Topic 11: 
     The improvement of first generation college student persistence and graduation rates is an undertaking that benefits individuals, society, and the institutions whose mission it is to confer degrees. This goal is one that is best served by an acknowledgment of the causes of attrition as well as understanding the factors that strengthen and reinforce academic success. The purpose of this study was to examine college-generational status and its relationship to the motivational characteristics, academic success, and persistence of African American students at an historically black university. The study utilized archived responses of a sample of first-time freshmen students enrolled in a First Year Experience (FYE) course at a mid-size historically black university in the Southeast. Demographic questions provided parental education status for assigning first versus continuing generation status. Student/family income, end of course grade, and academic year one and academic year two cumulative grade point averages (GPA) were also a part of the archived data file. The original data set utilized the motivation scale section of the Motivated Strategies for Learning Questionnaire (MSLQ) which entails 31-survey items with three primary scale components measuring: Value and Interest, Expectancy for Success, and Affective Response. A total of 110 completed archived survey responses of 61 first generation (55.5%) and 49 continuing generation (44.5%) students were scored and analyzed. Eleven total research questions were posed; two employed independent samples T-tests to look for differences in first and continuing generation student motivation scale scores and end of course grade. Simultaneous multiple linear regression procedures were conducted on five questions to assess motivation scale scores’ ability to predict first generation students’ end of course grade; and family income versus motivation’s strength as a predictor of cumulative GPA at academic years one and two. An additional four questions utilized logistic regression procedures to evaluate motivation scale scores as predictors of first generation student persistence; and family income versus motivation’s strength as a predictor of persistence through academic years one and two. The results of the analysis were unanticipated, as they appeared to counter what has been previously established concerning the deficits first generation students consistently demonstrate as compared to their continuing generation peers. The study evidenced very few differences in the academic success and persistence of first generation students with the exception of those who scored higher on the value motivation scale component having better academic year one persistence outcomes. Further consideration led to recognition of the likely positive influence of both the historically black university as an institutional setting and the First Year Experience course as a structured college transition program for both first and continuing generation freshman students. Additional findings and conclusions were discussed along with recommendations for practice and future research. 
 Topic 12: 
     Breast cancer is a significant public health problem. Globally, breast cancer is the most common form of cancer and is the leading cause of cancer-related mortality in women. African American women population has a higher mortality rate due to breast cancer when compared to non-Hispanic White women. Additionally, breast cancer incidence rates are also relatively higher in young African American women compared to their non-Hispanic White counterparts. Early detection remains the most important strategy for combatting breast cancer that can significantly reduce the mortality rate. It has been observed that breast cancer has a more devastating effect on younger African American population compared to non-Hispanic White, and therefore, educating younger women aged 18–49 can have a positive impact on changing behaviors and making better strides to emphasize the importance of breast cancer screening. The objective of this research study is to understand the current knowledge and perception of young African American female college students regarding breast cancer and help identify the gaps that exist in their knowledge, perception, health behaviors, and screening practices. To fulfil the objectives of this study, an integrative literature review was conducted to generate systematic evidence regarding current breast cancer screening motivators and challenges in African American women population. Additionally, data was collected from college students regarding their knowledge and perception of breast cancer, screening habits, and associated health behaviors using a self-administered questionnaire. The survey questions for breast cancer related knowledge and breast cancer related perception were developed using a modified version of the pre-validate Breast Cancer Awareness Measure (BCAM) questionnaire and the Champion’s revised Health Belief Model Scales (CHBMS). The common motivators identified for breast cancer screening in African American women included knowledge about cancer, personal experiences, and other factors including ease of transportation, presence of female healthcare providers in the screening facility, and easy access to healthcare facilities. The barriers identified were categorized into five groups—lack of knowledge, concerns about screening related costs, perception of breast cancer and the associated fear, individual or personal factors, and other factors including religious and fatalistic beliefs, perceived discrimination, and accessibility. For the survey based study, the final sample consisted of 623 participants, of which 518 (83.1%) students were non-Hispanic Whites and 105 (16.9%) students were African Americans. Statistical analysis revealed that most of the students had moderate knowledge about breast cancer, its symptoms, and its risk factors. There was no statistically significant difference in breast cancer related knowledge scores between the non-Hispanic White and the African American student groups after adjusting for the covariates education, income, and family history of breast cancer. Additionally, no statistically significant difference in breast cancer related knowledge scores was observed between students who had a family history of breast cancer and students who did not have a family history of breast cancer after adjusting for the covariates education, income, and ethnicity. The breast cancer related perceived susceptibility scores were statistically significantly different between non-Hispanic Whites compared to the African American group [ F (1,607) = 17.184, p ≤ 0.001] after adjusting for the covariates education level, income, and family history of breast cancer. However, the effect size was small (0.028), which indicated that ethnicity only accounted for 2.8% of the variance in breast cancer related perceived susceptibility. Similarly, there was a statistically significant difference in breast cancer related perceived benefit scores between the non-Hispanic White and the African American student groups [ F (1,607) = 7.778, p = 0.005] after adjusting for the covariates education, income, and family history of breast cancer. However, the effect size was small (0.013), indicating that ethnicity only accounted for 1.3% of the variance in breast cancer related perceived benefits. A statistically significant difference in breast cancer related perceived susceptibility scores was observed between students who had a family history of breast cancer and students who did not have a family history of breast cancer [F (1,607) = 58.407, p &lt; 0.001], with a medium effect size (0.088), that indicated that family history accounted for 8.8% of the variance in breast cancer related perceived susceptibility. There was no statistically significant difference in breast cancer related perceived barrier scores between the non-Hispanic White and the African American student groups after adjusting for the covariates education, income, and family history of breast cancer. Additionally, no statistically significant difference in breast cancer related perceived benefit and perceived barrier scores were observed between students who had a family history of breast cancer and students who did not have a family history of breast cancer after controlling for the covariates education, income, and ethnicity. Only 29.7% of the total students had an adequate breast cancer screening practice. However, a higher percentage of African American students had adequate screening practices (42.9%) compared to non-Hispanic White students (27%). Statistical analysis further revealed a statistically significant difference in breast cancer related screening habits between the non-Hispanic White and the African American student groups [ F (1,607) = 13.916, p &lt; 0.001] after adjusting for the covariates, although the effect size was small (0.022), which indicated that ethnicity accounted for 2.2% of the variance in breast cancer related screening practices. It was also observed that there was a statistically significant association between screening practices and knowledge level for breast cancer [χ 2 (2) = 12.783, p = .002], although the level of association was small (0.143). There was no statistically significant difference in breast cancer related health behaviors between the non-Hispanic White and the African American student groups, after adjusting for the covariates education, income, and family history of breast cancer. Additionally, there was no statistically significant association between health behaviors and knowledge level for breast cancer. The findings from this study will contribute to the currently limited resources that are available on the knowledge, perception, and screening behaviors of young African American college students. Although a higher number of interventions have been developed for this specific population over the last few years, however, the results from this study indicated that further research is required to understand the complex relationship between the different covariables and the knowledge, perception, and screening practices of breast cancer in African American population. 
 Topic 13: 
     Every day in the United States, hundreds of thousands of students are absent from school because of fear of being bullied (Chen &amp; Huang, 2015; Goldstein, 2012). Although bullying among school children in the United States has been declining since the 1990s (Finkelhor, 2013; Perlus, Brooks-Russell, Wang, &amp; Iannotti, 2014), it is still a major social and mental health issue that has severe negative consequences on victims. Most of the existing literature has documented the short-term negative consequences of peer victimization in school children (Jantzer, Haffner, Parker, Resch, &amp; Kaess, 2015; Landoll, LaGreca, Lai, Chan, &amp; Herge, 2015; Rueger &amp; Jenkins, 2014; Schwartz, Lansford, Dodge, Pettit, &amp; Bates, 2015; Sumter, Valkenburg, Baumgartner, Peter, &amp; van der Hof, 2015; Troop-Gordon, Rudolph, Sugimura, &amp; Little, 2015) and although a recent five decade study demonstrated that long term mental health effects such as anxiety, depression and suicidal ideation continues into adulthood (Takizawa, Maughan, &amp; Arseneault, 2014), research on the long term mental health effects such as anxiety and depressive symptoms in adults, related to a history of peer victimization is limited (Bowes, Joinson, Wolke, &amp; Lewis; 2016; McDougall &amp; Vaillancourt, 2015; Ttofi, 2015). In view of the existing literature and its limitation, I designed the current study to explore the following objectives: explore the degree to which college students report being bullied in secondary school; identify if long term mental health effects such as anxiety and depression exist in college students who have a history of being victimized by peers in secondary school; and understand college students’ perceptions of coping resources including mothers and fathers helpfulness and availability as well as community resources during the time they were bullied. Two hundred and thirty undergraduate college students participated in the study. It was a convenience sample and the participants were recruited from select Family and Child Studies courses at a university located in the Southwestern part of the United States. The participants filled out the following instruments: Demographic Questionnaire, Bullying Questionnaire, the State-Trait Anxiety Instrument (STAI), the Center of Epidemiological Studies Depression Scale-Revised (CESD-R), and Coping Resources Questionnaire. Analyses suggested that the study participants reported low to moderate level of bulling (relational, verbal, and physical) experiences when they attended secondary school. Levels of bullying experiences did not vary as a function of participants’ ethnicity and GPA. However, female participants reported greater experiences of relational bullying than male participants. Bullying experiences were found to be positively linked to participants’ reports of depressive symptoms and state anxiety. Also, depression, state anxiety, and trait anxiety were positively correlated. School teachers and peers appeared to be some possible sources of support to cope with bullying experiences. Also, a noticeable proportion of the participants reported no plausible support networks to get help. Although the bullying victims perceived that both the mother and the father were available to help, the mother’s availability appeared to more pronounced that the father’s availability to help. The findings are discussed within the context of the human ecological systems model and future research and policy implications. 
 Topic 14: 
     Collegiate alcohol use is a growing concern. Though alcohol use is often considered normative with this population, it is associated with negative consequences including unwanted sexual contact and suicidality (Core Institute, 2013) and as criminal charges for status offenses or driving under the influence. Often, offenses that occur on or near campus are diverted from the criminal justice system and addressed through the student conduct process. University officials mandate students who violate alcohol and/or drug (AOD) policy to interventions designed to reduce alcohol consumption and related negative consequences, yet these interventions are not always successful at doing so (e.g. Bernstein et al., 2017; Borsari et al., 2012, 2016). Variability in the process of assigning students to mandated interventions (e.g. Amaro et al., 2009; Bernstein et al., 2017; Juhnke et al., 2002), prevents assessment of the way intervention assignment practices influence alcohol related outcomes. Moreover, there is no empirically derived method of assigning students to interventions. In the last decade, however, alcohol consumption (frequency of heavy episodic dinking) and experience of alcohol-related consequences measured on the Young Adult Alcohol Consequences Questionnaire (YAACQ; Read, Kahler, Strong, &amp; Colder, 2006) have been used in research studies to determine risk prior to intervention assignment (Bernstein et al., 2017; Borsari, 2005; Borsari et al., 2016). Although this is a step in the right direction, using solely alcohol consumption and consequences does not fully account for the context of the student’s life or experiences. Risk has also been determined using scores from the Alcohol Use Disorders Test (AUDIT; Saunders, Aasland, Babor, de la Fuente, &amp; Grant, 1993, Carey, Carey, Maisto, &amp; Henson, 2009); however, this method also fails to consider other factors that contribute to risk ratings among college students (e.g., history of AOD use, family history, drinking motives, and demographic factors such as sex, race, Greek affiliation). While researchers exploring the impact of risk-based assignment to interventions is emerging, knowledge of the impact of this assignment process is limited. And, though these interventions assigned based on risk demonstrated some effectiveness, they do not facilitate improvement for all students (Bernstein et al., 2017; Borsari et al., 2016). Researchers have called for a more multifaceted set of variables to determine risk (Borsari et al., 2016) and assign interventions in order to improve study outcomes, and until now, no such model has been explored. The purpose of this study was to explore a comprehensive model that takes into account the individual inter- and intrapersonal factors that contribute to risk. Using stepwise logistic regression, this study identified a combination of factors to be used for risk rating determination among a convenience sample of collegiate drinkers. This study also sought to understand differences between risk groups. Risk ratings may be used to assign students to alcohol interventions to improve effectiveness and resource allocation. This calculated risk rating can be used to determine intervention type/assignment, and improve intervention outcomes consistent with Mallet, Bachrach,and Turissi’s (2009) suggestion that interventions for risky drinkers may be enhanced or improved by incorporating more variables (for example intrapersonal variables) that are closely related to intervention outcomes. This study was a first step in efforts to understand how individual factors including demographic factors and intrapersonal factors, interact to explain current and future risk. Collegiate undergraduates aged 18–25 years old responded to a questionnaire about demographic characteristics, motives for drinking, alcohol-related consequences, and patterns of alcohol consumption. Results of the study indicate individual factors such as freshman classification, biological sex, and motives for drinking may be appropriate screening variables as they are more likely to predict alcohol-related risk than other individual factors including alcohol citation history. These findings are consistent with previous research that identify class year, sex, and drinking motives as predictive of risky alcohol use and alcohol-related problems. Implications for counselors and student affairs staff are discussed in the context of program development and implementation. 
 Topic 15: 
     Research on introductory STEM course performance has indicated that student characteristics (age, ethnicity and gender) and Grade Point Average (G.P.A.) can be predictive of student performance, and by implication, a correlation among these factors can help determine course design interventions to help certain types of students perform well in introductory STEM courses. The basis of this study was a community college Visual Basic programming course taught in both online and hybrid format. Beginning students in this course represented a diverse population residing in a large, mid-western, city and surrounding communities. Many of these students were defined as “at-Risk” or “non-traditional, which generally means any combination of socio-economic, cultural, family and employment factors that indicate a student is non-traditional. Research has shown these students struggle academically in technologically dense STEM courses, and may require student services and support to achieve their individual performance goals. The overall number in the study range was 392 distance students and 287 blended course students. The main question of this research was to determine to what extent student characteristics in a community college context, and previous success, as measured in overall G.P.A., were related to course performance in an introductory Visual Basic programming (STEM) course; and, whether or not a combination of these factors and course modality was predictive of success. The study employed a quantitative, quasi-experimental design to assess whether students’ course performance was linked to course modality, student characteristics and overall G.P.A. The results indicated that the only predictor of student performance was overall G.P.A. Despite the research analyzed in Chapter 2, there was no statistically significant relationship to modality, age, ethnicity, or gender to performance in the course. Cognitive load is significant in a computer programming course and it was theorized that would be expanded in an online context. However, the results of the analysis showed that course modality did not affect the chances of students performing well. Internal validity constraints may have contributed to the results, as the course is highly controlled and modularized in both online and hybrid format, and taught by few instructors, all of whom are available for face to face problem solving for both online and hybrid students. 
 Topic 16: 
     Background: Cervical Cancer is the second most common cancer among women worldwide. It is primarily caused by Human Papilloma Virus (HPV) infection. Around 80% of global cancer cases are from lower income countries. Human Papilloma Virus is the most common Sexually Transmitted Infection (STI). Most of the times Cervical Cancer grows slowly. It can take 10 - 15 years for abnormal cells to turn into cancer. Women with advanced Cervical Cancer may have abnormal bleeding, discharge or pain. Most people who become infected with HPV does not even realise they have it. Inspite of wide propaganda, many females in the vulnerable age group are not coming forth to get HPV Vaccination done. So the present study is undertaken to assess the knowledge and attitude of first year B.Sc nursing students regarding HPV vaccination. Methodology: A descriptive study is conducted among first year B.Sc nursing students in a selected college of nursing at guntur district, Andhra Pradesh in February 2018. Seventy six students are selected by using convinent sampling technique. A structured questionnaire and attitude scale are used to collect data from 76 I year B.Sc nursing students. Data are analyzed by using descriptive and inferential statistics. Results: Among the 76 nursing students,72 (94.74%) had inadequate knowledge on HPV vaccination, 4 (5.26%) had moderate knowledge and none of the students had adequate knowledge. Most of the students (54 i.e. 71.05%) had unfavourable attitude towards HPV vaccination, 22 (28.94%) had moderately favourable attitude, none of them had favourable attitude. Significant association is found between the knowledge of I year B.Sc. (N) students with regard to HPV Vaccination and their Agc(.c" =311.26), Previous knowledge about HPV vaccination)x- =6.79) and Family history of Cancer Cervix)/." =5.89). Significant relationship is found between the knowledge and attitude (t=3.75) of I year B.Sc. Nursing students with regard to HPV vaccination at 0.05 level of significance. Conclusion: The present study concludes that majority of I year B.Sc. Nursing students have inadequate knowledge and unfavourable attitude on HPV vaccination. Significant relationship is there between the knowledge and attitude of I year B.Sc. Nursing students with regard to HPV vaccination. Inadequate knowledge and unfavourable attitude makes young females to avoid getting vaccination against HPV. 
 Topic 17: 
     Background Although a better understanding of parental influences on college students’ occupational identity development (OID) and ultimate career choice(s) can help HRD personnel (including college counselors) provide more relevant and effective career-choice information when advising students, parental influence itself varies by many factors, including culture of origin. Accordingly, this study moves beyond conventional stereotypes depicting overbearing Asian parent-student career-decision dynamics to qualitatively explore junior- and senior-year Singaporean college students’ perceptions of parental influence on their career choice (s).. Methods Specifically, this study employs in-depth interviews to explore how Singaporean college students studying in the US viewed the career development activities of their youth, and to what extent those experiences and their parents had influenced their current career decisions and development path. Additionally, the study also offers a novel methodological approach that combines the occupational identity development (OID) and social cognitive career theory (SCCT) frameworks. This was necessary both to afford sufficient explanatory power during data analysis and to explore how parental influence interacts through OID and SCCT around career decision-making among Singaporean college students studying in the United States. Findings Along with the specific findings (below), the hybrid framework used in this study represents a significant contribution to and for HRD research. With respect to early career decision-making, the study found that only 3 of 15 participants reported career development activities in their youth, with 12 of 15 reporting virtually no data (even after prompting). This contradicts research that locates the arc of career development in early life. Instead, parental influences arose more often in contexts closer to college and for specific college plans for majors or careers. For the interaction between OID and SCCT, the three main findings include (1) an identifiable inverse relationship between agentic proxy and collaborative agency in parental involvement in the career decision-making process, (2) considerable strength of individual interests for honing the career decisions of participants (often in direct conflict with parental expectations), and (3) significant occupational customization (or dual career interests) in families with collaborative/hybrid parenting styles. Finding (1) is intuitive and predictable, i.e., where proxy agency (those influences exercised over the individual by others) is less present, there is an increased presence of collaborative agency (those influences generated by the mutual work and agenda of the individual and those around him towards a particular goal or desired outcome) between students and parents. Parenting style may play a role in this. Findings (2) and (3) more directly contradict stereotypical “Asian” parent-student career choice dynamics. Ultimately, it is the student who executes the choice of career, not simply because they must actually do the work of a career or because if parents excessively harp on what their children should do , this will likely end finally in complete disassociation. Rather, parental voices for “good careers” (in contrast to the student’s desires toward what they want to do) are, in some ways, simply the voices of the social world itself (which students will hear from many quarters, not just parents). This can result in compromise careers , whereby students identify work that might not pay as well as “good jobs” but is still fulfilling. Conclusion Future studies would benefit from combining “cross-sectional” and “longitudinal” HRD research and frameworks, especially around motivations (or perceptions of motivations) among students and parents. Redoing parenting style frameworks starting with “collectivist” culture parenting assumptions would also be beneficial. Better understanding these factors, especially when career advising students from collectivist cultures who navigate parental influences differently than students from non-collectivist cultures, will lead to better outcomes. This is because career advocacy can adopt and adapt those navigational differences when trying to show an open career pathway for students, when attempting to steer students towards emerging tech sectors, or for HRD practice generally, especially in work-sectors where large numbers of graduated students from collectivist cultures are already present. 
 Topic 18: 
     Transgender and gender non-conforming (trans*) students are growing in visibility and advocacy in the higher education landscape, yet students must navigate a collegiate environment not historically structured to meet their needs (Herman et al., 2022; Nicolazzo, 2017). This mixed-methods research study examined the higher education institutional characteristics that trans* college students perceive as supporting their sense of belonging and validating their identity. Forty trans* college students/recent graduates and 10 college diversity staff from 11 Maryland colleges and universities participated in a survey. Using Likert-scale and open-ended questions, the survey inquired about the presence/absence of 14 institutional characteristics and the extent to which these characteristics support belonging and validate identity for trans* students. The study confirms that seven of the 14 institutional characteristics are particularly perceived as supporting both sense of belonging and identity validation. The institutional characteristics include a process to prevent students from being “outed” without their consent; trans-inclusive clubs/activities; trans-specific professional development for faculty/staff; genderneutral bathrooms across campus; professors asking students to share preferred name/pronouns in a safe, respectful manner; an anti-discrimination policy that includes gender/trans* identity; and the opportunity for students to disclose trans* identity during the admissions process. The study revealed that the students’ year in college and institution type influence perceptions of support for belonging and identity validation. Level of family social support and race, while potentially having an impact on some students’ perceptions, did not show significant associations for belonging and identity validation in the results of this research study. Results show that staff and students from the same institution do not always perceive the support of institutional characteristics identically. For example, there was agreement that trans-inclusive clubs/activities; gender-neutral bathrooms across campus; professors asking students to share name/pronouns in a safe, respectful manner; and trans* history reflected in the curriculum all contribute to belonging and validation. However, there were discrepancies in perceptions of staff and students when it came to the support of an anti-discrimination policy. This study magnifies the voices of trans* college students, many of whom identify as non-binary, and demonstrates that there are myriad trans* experiences that cannot be stereotyped into one singular narrative. Further, the study promotes a shift from reactive to proactive supports for trans* college students by confirming seven institutional characteristics that support students’ sense of belonging and identity validation as they pursue their academic goals. 
 Topic 19: 
     The Dominican Republic has a population of over 10 million, from which an estimated 20% fall within the age range of 10 to 19 years old (OECD, 2012). The provision of education, particularly for Dominican youth, has been established as a long-term social and economic priority at the government level (OECD, 2012; Pimentel, 2002). Nevertheless, research suggests that education and health management in the Dominican Republic have been historically inadequate and insufficient (Schumacher, 2010; Vargas-Lundius, 1991). Further research is warranted to better understand Dominican students’ mental health experiences as they attempt to succeed in formal learning environments (Schumacher, 2010). Furthermore, psychological distress in college settings has been deemed a major challenge for students and higher education institutions alike (Baader et al., 2014; Gutiérrez Rodas et al., 2010; Kitzrow, 2009; Ross et al., 1999). Despite scholarly evidence that more and more students could benefit from accessing mental health services, low help-seeking rates continue to resurface in the literature (American College Health Association, 2009; Demyan &amp; Anderson, 2012; Eisenberg et al., 2007). Previous findings suggest the likely interference of self- and social stigma in individuals’ attitudes and intentions to seek psychological care for experiences of distress (Lienemann et al., 2013; Satcher, 2000; Vogel et al., 2013b). Through the use of six measures and quantitative analyses, this study explores Dominican college students’ ( n = 280) experiences of psychological distress, help-seeking attitudes, help-seeking intentions, self-stigma, and social stigma toward seeking psychological services. Findings reveal that from 47% males and 53% females, traditional-aged (86%), under-class (65%) college students with predominant affiliation to Health Sciences (36%) or Engineering (36%), about 71% ( n = 200) experience moderate levels of distress, 74% ( n = 207) have neutral help-seeking attitudes, and 67% ( n = 188) hold moderate help-seeking intentions, mostly toward family or friends. Additionally, 74% ( n = 206) of participants present moderate levels of self-stigma, and 76% ( n = 212) report moderate levels of social stigma toward psychological services. Moreover, there are significant bivariate correlations among this study’s main variables, with the exception of distress. A multivariate analysis of variance (MANOVA) supports main effects of gender, age, and area of academic study on the main variables. Post-hoc tests reveal multiple group differences for academic area of study related to psychological distress and help-seeking attitudes. Likely one of the first studies of its kind in the Dominican Republic, this research contributes data on Dominican college students and mental health considerations, with implications for improved practice and research. Future studies on distress, help-seeking and stigma with Dominican college students are encouraged overall. 
 Topic 20: 
     As the number of language-minoritized students, such as English learners (ELs) grows in the United States (Bergey et al., 2018; Núñez et al., 2016; Kanno &amp; Cromley, 2015), it is necessary to understand their experiences in post-secondary education. When EL students transition into higher education, they lose their labels and language development resources they were receiving in K-12th grade due to federal and state policies that protect them (Núñez et al., 2016). As a result, there is no way to continue tracking EL students in higher education. It is important to continue understanding the experiences of EL students to understand how they compare with non-EL counterparts in college and to determine the supports these students may still need in college. Given that EL students lose their language labels in higher education, this dissertation utilizes an asset-based label, culturally and linguistically diverse (CLD), to refer to students who were EL students in K-12th grade, as these students’ cultures and linguistic. Evidence shows that these students are not afforded opportunities to learn the academic language in their K-12 English development programs that students will need in college (Gándara &amp; Hopkins, 2010). Academic language is of great importance in higher education to communicate new learning, ideas, and stances with professors and peers, and these language demands placed on CLD college students often go unnoticed. Not only that, the linguistic assets that CLD students bring with them to college like their bilingualism and multilingualism often are erased in the college space (Mazak &amp; Carroll, 2017). The aim of this dissertation was to understand the CLD students’ socio-academic experiences in K-12th grade in relation to context-specific languages and how context-specific languages shape CLD college students’ socio-academic college experiences according to the situations and people that surround them. Using an ethnonarrative inquiry research approach, 15, CLD college students were interviewed using a testimonio interview protocol (Reyes &amp; Curry Rodríguez, 2012) and completed a 4-week journal reflection activity. The last portion of the study consisted of college classroom observations. In general, the CLD students described how external language ideologies have shaped their own language ideologies and their self-perceptions about their language skills. The students also describe how family language policies and school language policies have also contributed to shaping their language ideologies and self-perception about their language skills. An important theme that resonated among the CLD students was the use of private speech in their home languages to learn and study their college course materials and other metacognitive skills, including self-awareness of how their home and academic languages impact their social and academic experiences as college students. In line with Yosso’s Community Cultural Wealth framework, the CLD students’ experiences reveal the different forms of capital that have informed their experiences. Although, this dissertation originally was focused on how linguistic capital has impacted these students’ social and academic experiences, the students’ narratives tap into other forms of capital, social, familial, navigational and aspirational. In addition, the CLD students describe their experiences of planning and preparing for college as EL and first-generation college students. The findings from this study have implications on language use and language learning policies in the K-16 pipeline that can better support culturally and linguistically diverse students in college. 
 Topic 21: 
     Research on undocumented students has explored the challenges of this population in accessing and persisting in higher education. It has also analyzed the factors that undocumented students draw upon to be academically resilient. This research has been exclusively conducted at public 4-year universities and community colleges, many of which exist in states that have in-state tuition laws for undocumented students. Highly selective private liberal arts colleges and national research universities have also offered admission and, in most cases, full tuition packages to undocumented students. However, research has not yet empirically examined the college experience of undocumented students attending these institutions. To address this gap in research, this study relies on the qualitative application of two identity-development models and theories—the Multidimensional Model for Racial Identity (Sellers et al., 1998) and the concept of stigmatized identities and management of stigma (Goffman, 1963)—to explain the ways in which undocumented Latino students conceptualize their identity and navigate their immigration status, academics, and their social experience in the context of highly selective, private national universities and liberal arts colleges. Forty-one (41) undocumented students attending highly selective private national universities and liberal arts colleges were interviewed for this study. The study’s main findings include: 1) while current research shows public colleges and universities as critical sites for undocumented students’ collective identity, private colleges and universities foster what this study identifies as an Incidental Personal Undocumented Identity; 2) while most private colleges and universities provide substantial financial aid packages, financial concerns continue to be the primary influence of students’ status on academics, echoing concerns of students in previous research. Immigration status also influenced participants’ choice of major, their interactions with faculty and their perception of their ability to achieve their future goals; 3) unlike students in previous research, participants’ undocumented status was less relevant in their everyday social interactions in college, although it became salient in their negative experiences and; 4) private colleges and universities are at different stages in their capacity to serve undocumented students which range from symbolic open door, to resource driven to equity and inclusion models. There are several key implications of this study. First, offering an equitable education for undocumented students at private colleges and universities requires diversifying and increasing the number of undocumented students on campus; institutionalizing and centralizing resources—including resources for non-DACA students; providing students the opportunity to connect with the larger community of undocumented students; and educating faculty, staff, administration and the student body. K-12 schools also need to disseminate resources for undocumented students at an early age, outreaching to parents and where possible, creating resource centers to help students remain on a college track. Furthermore, in order to protect this population, school districts, universities and policy makers need to advocate for the creation of permanent immigration policy that ensures the safety of these students, their families and their communities. 
 Topic 22: 
     Low-income, first-generation students face numerous barriers on the path to college. However, millions of these students persevere and ultimately enroll. How do these students remain motivated on the road to higher education despite these challenges? This collective case study explored influences on the motivation of low-income, first generation students on the path to college using Deci and Ryan’s self-determination theory and Bourdieu’s conceptualization of social capital as guiding frameworks. The case study highlighted the motivational experiences of seven low-income, first-generation college students and included interviews with their parents, counselors, and teachers. The findings indicated that relatedness - or the close, safe psychological relationships one has with others - was augmented by teachers and counselors who provided frequent contact and college planning reminders, demonstrated openness to building a relationship, advocated for the students, listened and acted as a sounding board, and served as a long-term presence in the students’ lives. For families, relatedness was enhanced when parents were involved in college planning, served as positive examples, and showed they cared. Serving as a role model for younger siblings was another key motivator for the students. Competency - or the belief in one’s abilities to be effective in one’s environment - was fostered by school personnel who provided career encouragement and positive feedback on student’s academic abilities. Parental support for competency was enacted by emphasizing education early and fostering students’ academic competency, setting high expectations for grades, and providing positive feedback. Competency was forestalled by not providing enough academic rigors in the school setting, focusing on testing versus college preparation, and low perceived teacher quality. Autonomy - described as feeling volitional and having choice in one’s decisions - was enhanced when school staff expanded students’ choices about college, served as sounding boards, and listened and offered reminders, not directives. Autonomy-supportive strategies used by parents included being supportive but “hands off” with decisions, serving as a sounding board during decision-making, supporting students’ career goals, and encouraging the child’s help-seeking behavior. Autonomy was undermined when school personnel coddled students or did not provide validation or other forms of support during college planning. Parent and family approaches that undermined autonomy included providing little college push or process support, not having information to answer “what will it be like” questions, highlighting financial concerns, family obligations, and having low expectations of college-going. In terms of social capital, those who provided students with high-volume forms of social capital provided emotional support, demonstrated a belief in students’ ability, and showed caring. They also offered accurate, high-quality information and facilitated students’ access to other social networks for support. Fewer sources for college information in social networks and a lack of college-going ethos in the community created low-volume forms of social capital that negatively impacted students. These findings have significant implications for school personnel, parents/guardians, and those working in college access organizations to improve postsecondary attainment for underserved students. 
 Topic 23: 
     Between 2000 and 2010, the Asian population within the U.S. increased more than four times faster than the total U.S. population. Accordingly, school-aged immigrant children from Asia constitute a sizeable portion of the U.S.’s student population. The percentage of students enrolled in elementary and secondary public schools who are Asian/Pacific Islander is projected to increase from 2.6 to 3.1 million between 2014 and 2025, and will account for 6 percent of total enrollment by 2025. Asian American youth have shown distinct characteristics among other racial minority groups in the U.S. Compared to their White and Black counterparts, Asian American students perform better in secondary education and have higher college admission test scores. In addition to educational success in secondary education, Asian Americans also tend to enroll in college at higher rates, and are more likely to attend highly selective four-year colleges compared to other racial minority groups. Although the research on Asian American students’ educational success in secondary education and transition to college is well-established, neither their experiences in the early stages of schooling or in higher education have been investigated in depth, which leads to a general misunderstanding of Asian American students and their educational outcomes. For the children of immigrant parents, early childhood is the most important period for adjustment, providing opportunities to prepare socially, psychologically, and intellectually for formal institutional settings. Despite this, researchers have paid relatively little attention to the educational experiences of young Asian American students and their families. Research on Asian American college students is equally important, with some social scientists reporting that the educational success of Asian Americans in secondary education is not necessarily maintained through higher education. Research on these two stages of education will help us better understand the educational attainment of Asian American students in terms of life course perspectives. In order to address the evident gaps in research, I have chosen to investigate the relationship between parents’ race/ethnicity and parental involvement in pre-secondary education, as well as the association between students’ race/ethnicity and educational experiences in post-secondary education, focusing primarily on Asian American students. In the first study, I examine how the race/ethnicity of parents with first grade children contributes to parental involvement within school and outside of school, after controlling for potential confounding factors at both the child and parent level. I further explore whether parents’ socioeconomic status (SES) influences the parental involvement of Asian parents. Using the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 (ECLS-K:2011) data, I employ ordinary least squared (OLS) regression to examine the extent to which parent’s race/ethnicity or SES (within-race/ethnicity analysis) predict parental involvement in their children’s educational activities, in school and outside of school. To adjust for weighting and design effects in the data set, I used the specific first grade weights designed for each teacher, parent, or school administrator response in 2010–2011 cohorts, respectively. I found that while Asian parents had significantly lower participation in school-based parental activities compared to White parents, such parents tended to participate more heavily in their children’s educational activities outside of school. Within-race/ethnicity analysis for Asian parents, I found an overall positive effect of SES on parental involvement both in school and outside of school. Interestingly, the determinants of parental involvement changed depending upon the types of parental involvement. In the second study, I analyze the 2016 Student Experience in the Research University (SERU), a multi-institutional data set, to examine the relationship between students’ race/ethnicity and college outcomes, as well as the extent to which students’ college experiences and perceptions mediate this relationship. I found that Asian American college students had a lower college GPA, as well as lower scores in self-assessment of gains in critical thinking and communication skills, compared to their White peers. Students’ academic engagement and perceptions of how well they belonged accounted for the largest share of the relationship between students’ race/ethnicity and college outcomes. I further explore how parental education, as a proxy of parents’ SES, influences the college outcomes of Asian American college students. I found that Asian American students with parents who did not attend any college had higher GPAs than those Asian American students with parents who both earned four-year degrees. However, Asian American students with parents who did not attend any college had lower scores in self-evaluation of gains in critical thinking and communication skills than those with parents who both earned four-year degrees. This dissertation contributes to the existing literature on Asian American studies and higher education by pushing the boundaries of sociological knowledge of the experiences of Asian American students in U.S. schools. (Abstract shortened by ProQuest.) 
 Topic 24: 
     The purpose of this study was to examine the relationship between inferiority feelings as proposed by Adler and perceived parenting style of sub-degree students from a community college in Hong Kong, as well as exploring the meaning of inferiority complex among them. The study was carried out in two phases: phase one was a quantitative study. Three hundred and eighty-nine community college students completed the Rosenberg Self-esteem Scale (Rosenberg, 1965, 1979) and Buri's Parental Authority Questionnaire (PAQ)(1991). Phase two was a qualitative study using an extended case study approach. Data were collected via conducting face-to-face interviews with seventeen community college students, who were invited by teachers from different divisions of a large-scale community college in Hong Kong. Results showed a significant positive correlation between self-esteem and maternal permissiveness, as well as a significant negative correlation between maternal authoritarianism and self-esteem. A key finding from this study was that parenting style contributed to students' self-esteem significantly, with maternal parenting style being one of the key sources of young people’s feelings of inferiority. This is partially in line with Adler's view on permissiveness as one of the sources of inferiority complex. Data also revealed that family bonding in the traditional Chinese parenting style, which includes features like tiger parenting, filial piety, obligation to bring honour to the family, humbleness and respect for absolute parental authority, is a distinctive entity embedded in all families among those community college students who had participated in the study. Additionally, the evidence from the data revealed that inferiority complex is being defined by community college students as a by-product from comparison with other people. To the interviewees, constant comparisons between individuals in terms of (i) familial and personal circumstances; (ii) internal (include inner self-judgment) and external (include societal evaluation) would lead to a sense of inferiority. For them, the comparison with other people is the very nature of inferiority complex itself. In conclusion, defining the inferiority complex as comparison and stating diligence as the solution for getting rid of the sense of inferiority implied that traditional Chinese parenting style is affecting these students' perception on inferiority complex. While Adler indicated that pampering and neglectful parenting style, as well as social comparison, were contributing factors to the formation of inferiority complex, findings in this study added to the literature on Adler's construct of inferiority complex that Chinese culture is a critical component which is missing in Adler’s concept of inferiority complex, when it is being applied to local community college students. My findings would provide new insight for teachers in Hong Kong in designing teaching pedagogy and assessment methods, whilst this research also advises professional counsellors or psychologists the need to explore clients' relationships with their parents at counselling sessions, with an emphasis on parents' and client's role-taking and identities in families; and the effects of comparison with peers might have on clients. Finally, besides filling the gap of knowledge in Adler's concept of inferiority, this study also revealed another gap of knowledge need to be further investigated, that is, what exactly is inferiority complex in Chinese culture. 
 Topic 25: 
     The percentage of all doctoral degree awards earned by African Americans is still close to six percent of the U.S. population. The purpose of this qualitative research project was to understand the mentoring experiences of African-American doctoral students at HBCUs and HWCUs. Thus, 26 African-American doctoral students were recruited for the semi-structured, in-depth, face-to-face interview study. This interpretive qualitative design allowed the researcher to obtain rich descriptive data on the participants’ experiences and perceptions about mentoring. Eight common themes emerged from the analyzed data: (1) Professional and Academic Growth); (2) Professional and Academic Experiences; (3) Characteristics of Mentor/Protégé Relationship; (4) Perceived Barriers and Challenges; (5) Team Building and Collaboration Garner Success; (6) Race and Gender Characteristics of Advisors; (7) Rapport with Mentor/Advisor; and (8) Alienation and Marginalization. The themes were cross-referenced with the research questions to explore the alignment between the mentoring occurrence and the purpose of the study. The findings revealed that formal and informal mentoring are essential to the professional and academic growth of African-American doctoral students. Participants revealed the importance of having a strong support system from family, friends, peers, advisors/mentors and colleagues. The participants in this study had the ability and strength to overcome many barriers and challenges to succeed academically in their respective departments and programs. Findings discovered that some participants faced marginalization, neglect, racism, sexism, and other forms of oppression within their respective graduate programs and academic environments. However, these African-American doctoral students gained strength from family, peers and faculty advisors/mentors at their respective institutions. Others were not as fortunate, as witnessed by several African-American participants that attended HWCUs. The African-American students in this study created meaning of their mentoring experiences while pursuing their doctoral degrees. However, to gain a better understanding of these experiences, and how to address the numerous obstacles and problems they face, educators (graduate programs, higher education administrators, policy makers) should invest in identifying the issues and bringing knowledge and support to underrepresented student populations.
# choose our number of topics
k <- 25

# specify model
myModel <- stm(dfm_topic,
            K = k,
            prevalence =~ year,
            data = Text_Data,
            max.em.its = 1000,
            seed = 1234,
            init.type = "Spectral")
Beginning Spectral Initialization 
     Calculating the gram matrix...
     Finding anchor words...
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     Recovering initialization...
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Initialization complete.
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Completed E-Step (1 seconds). 
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Completing Iteration 1 (approx. per word bound = -7.269) 
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Completing Iteration 3 (approx. per word bound = -6.701, relative change = 9.264e-03) 
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Completing Iteration 5 (approx. per word bound = -6.676, relative change = 1.056e-03) 
Topic 1: students, program, study, black, academic 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, study, first-generation, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, media 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, academic 
 Topic 8: college, students, study, research, factors 
 Topic 9: students, agriculture, college, family, study 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, college, cancer 
 Topic 13: students, college, anxiety, language, study 
 Topic 14: support, students, college, family, social 
 Topic 15: students, college, dual, enrollment, study 
 Topic 16: knowledge, students, attitude, study, regarding 
 Topic 17: students, career, stem, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, study 
 Topic 24: college, students, study, community, participants 
 Topic 25: college, students, success, black, academic 
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Completed E-Step (1 seconds). 
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Completing Iteration 6 (approx. per word bound = -6.673, relative change = 5.370e-04) 
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Completing Iteration 9 (approx. per word bound = -6.667, relative change = 2.477e-04) 
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Completing Iteration 10 (approx. per word bound = -6.665, relative change = 2.555e-04) 
Topic 1: students, program, black, de, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, study, first-generation, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, college, agriculture, mathematics, family 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, college, cancer 
 Topic 13: students, college, anxiety, language, study 
 Topic 14: support, students, college, family, social 
 Topic 15: students, college, dual, enrollment, study 
 Topic 16: knowledge, students, attitude, study, college 
 Topic 17: students, career, stem, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, study 
 Topic 24: college, students, study, community, participants 
 Topic 25: academic, success, college, students, support 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 11 (approx. per word bound = -6.664, relative change = 2.131e-04) 
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Completing Iteration 12 (approx. per word bound = -6.663, relative change = 1.277e-04) 
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Completing Iteration 13 (approx. per word bound = -6.662, relative change = 9.972e-05) 
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Completing Iteration 14 (approx. per word bound = -6.662, relative change = 8.390e-05) 
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Completing Iteration 15 (approx. per word bound = -6.661, relative change = 9.789e-05) 
Topic 1: students, program, black, de, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, academic 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, college 
 Topic 13: students, college, anxiety, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, enrollment, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: stem, career, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, participants 
 Topic 25: academic, success, students, support, college 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 16 (approx. per word bound = -6.660, relative change = 1.077e-04) 
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Completing Iteration 17 (approx. per word bound = -6.659, relative change = 1.309e-04) 
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Completing Iteration 20 (approx. per word bound = -6.658, relative change = 6.156e-05) 
Topic 1: students, program, de, black, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, college 
 Topic 13: students, college, anxiety, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, covid-19, enrollment 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: stem, career, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, participants 
 Topic 25: academic, students, success, college, support 
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Completed E-Step (0 seconds). 
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Completing Iteration 21 (approx. per word bound = -6.657, relative change = 6.656e-05) 
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Completing Iteration 22 (approx. per word bound = -6.657, relative change = 6.597e-05) 
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Completing Iteration 23 (approx. per word bound = -6.656, relative change = 6.114e-05) 
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Completing Iteration 24 (approx. per word bound = -6.656, relative change = 6.077e-05) 
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Completing Iteration 25 (approx. per word bound = -6.655, relative change = 6.309e-05) 
Topic 1: students, de, program, black, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, college 
 Topic 13: students, college, anxiety, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, covid-19, enrollment 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: stem, career, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, success, college, support 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 26 (approx. per word bound = -6.655, relative change = 6.281e-05) 
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Completing Iteration 27 (approx. per word bound = -6.655, relative change = 6.262e-05) 
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Completing Iteration 28 (approx. per word bound = -6.654, relative change = 6.082e-05) 
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Completing Iteration 29 (approx. per word bound = -6.654, relative change = 4.548e-05) 
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Completed E-Step (1 seconds). 
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Completing Iteration 30 (approx. per word bound = -6.654, relative change = 3.502e-05) 
Topic 1: students, de, program, black, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, college 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, covid-19, pandemic 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: stem, career, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, latino, college, success 
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Completed E-Step (0 seconds). 
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Completing Iteration 31 (approx. per word bound = -6.653, relative change = 3.372e-05) 
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Completing Iteration 32 (approx. per word bound = -6.653, relative change = 3.805e-05) 
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Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 33 (approx. per word bound = -6.653, relative change = 3.264e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 34 (approx. per word bound = -6.653, relative change = 2.941e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 35 (approx. per word bound = -6.653, relative change = 2.639e-05) 
Topic 1: students, de, program, black, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: stem, career, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, latino, college, success 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 36 (approx. per word bound = -6.652, relative change = 2.642e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 37 (approx. per word bound = -6.652, relative change = 2.318e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 38 (approx. per word bound = -6.652, relative change = 2.271e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 39 (approx. per word bound = -6.652, relative change = 2.460e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 40 (approx. per word bound = -6.652, relative change = 2.738e-05) 
Topic 1: students, de, black, program, study 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, college, latino, success 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 41 (approx. per word bound = -6.652, relative change = 2.849e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 42 (approx. per word bound = -6.651, relative change = 3.150e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 43 (approx. per word bound = -6.651, relative change = 3.096e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 44 (approx. per word bound = -6.651, relative change = 2.857e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 45 (approx. per word bound = -6.651, relative change = 2.954e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, college, support, success 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 46 (approx. per word bound = -6.651, relative change = 3.011e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 47 (approx. per word bound = -6.650, relative change = 2.580e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 48 (approx. per word bound = -6.650, relative change = 2.310e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 49 (approx. per word bound = -6.650, relative change = 2.241e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 50 (approx. per word bound = -6.650, relative change = 2.121e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, study 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, american, asian, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, college, support, success 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 51 (approx. per word bound = -6.650, relative change = 2.140e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 52 (approx. per word bound = -6.650, relative change = 2.368e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 53 (approx. per word bound = -6.649, relative change = 2.747e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 54 (approx. per word bound = -6.649, relative change = 3.207e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 55 (approx. per word bound = -6.649, relative change = 2.917e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, high 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, support 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, asian, american, college, family 
 Topic 24: college, students, study, community, experiences 
 Topic 25: academic, students, college, support, success 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 56 (approx. per word bound = -6.649, relative change = 2.153e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 57 (approx. per word bound = -6.649, relative change = 2.093e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 58 (approx. per word bound = -6.649, relative change = 2.154e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 59 (approx. per word bound = -6.648, relative change = 2.218e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 60 (approx. per word bound = -6.648, relative change = 2.278e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, high 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, student 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, asian, american, college, family 
 Topic 24: college, students, study, community, cultural 
 Topic 25: academic, students, support, college, success 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 61 (approx. per word bound = -6.648, relative change = 2.162e-05) 
....................................................................................................
Completed E-Step (1 seconds). 
Completed M-Step. 
Completing Iteration 62 (approx. per word bound = -6.648, relative change = 2.023e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 63 (approx. per word bound = -6.648, relative change = 2.247e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 64 (approx. per word bound = -6.648, relative change = 1.985e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 65 (approx. per word bound = -6.648, relative change = 1.624e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, high 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, breast 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, student 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, asian, american, college, family 
 Topic 24: college, students, study, community, cultural 
 Topic 25: academic, students, support, college, success 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 66 (approx. per word bound = -6.648, relative change = 1.392e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 67 (approx. per word bound = -6.647, relative change = 1.322e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 68 (approx. per word bound = -6.647, relative change = 1.147e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 69 (approx. per word bound = -6.647, relative change = 1.100e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 70 (approx. per word bound = -6.647, relative change = 1.259e-05) 
Topic 1: students, de, black, program, education 
 Topic 2: students, college, school, high, study 
 Topic 3: college, students, first-generation, study, educational 
 Topic 4: student, students, financial, college, study 
 Topic 5: students, social, college, study, capital 
 Topic 6: students, college, school, rural, high 
 Topic 7: students, learning, college, study, online 
 Topic 8: college, study, students, research, data 
 Topic 9: students, developmental, college, mathematics, agriculture 
 Topic 10: students, family, college, study, undergraduate 
 Topic 11: students, college, first, study, generation 
 Topic 12: family, students, academic, cancer, college 
 Topic 13: students, anxiety, college, language, study 
 Topic 14: support, students, family, college, social 
 Topic 15: students, college, dual, pandemic, covid-19 
 Topic 16: students, knowledge, attitude, study, college 
 Topic 17: career, stem, students, college, study 
 Topic 18: students, college, community, study, student 
 Topic 19: health, students, mental, college, family 
 Topic 20: students, college, education, experiences, study 
 Topic 21: students, education, colleges, college, study 
 Topic 22: students, college, parents, family, stress 
 Topic 23: students, asian, american, college, family 
 Topic 24: college, students, study, community, cultural 
 Topic 25: students, academic, support, college, study 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Completing Iteration 71 (approx. per word bound = -6.647, relative change = 1.126e-05) 
....................................................................................................
Completed E-Step (0 seconds). 
Completed M-Step. 
Model Converged 
labelTopics(myModel)
Topic 1 Top Words:
     Highest Prob: students, de, black, program, education, study, academic 
     FREX: pta, y, en, que, de, las, plagiarism 
     Lift: ad, como, estudio, feminidad, femininity, league, subquestion 
     Score: de, y, en, el, pta, sss, que 
Topic 2 Top Words:
     Highest Prob: students, college, school, high, study, transition, disabilities 
     FREX: asd, disabilities, disability, readiness, school, high, autism 
     Lift: 10th, admitting, agendas, asd, biology, cohort-based, covid‐19 
     Score: disabilities, asd, college-going, disability, autism, readiness, school 
Topic 3 Top Words:
     Highest Prob: college, students, first-generation, study, educational, family, education 
     FREX: low-income, marriage, educational, becoming, first-generation, narrative, admission 
     Lift: 2010s, abandoned, athletic, daiute, edutainment, nces, pregnancy 
     Score: marriage, low-income, first-generation, seapi, ged, tna, fgc 
Topic 4 Top Words:
     Highest Prob: student, students, financial, college, study, support, family 
     FREX: debt, memorials, veteran, sponsor, financial, resistance, loans 
     Lift: intramural, accumulates, borrow, borrowing, breadwinner-caregiver, byla, connell 
     Score: debt, memorials, veteran, sponsor, memorial, masculinities, borrowing 
Topic 5 Top Words:
     Highest Prob: students, social, college, study, capital, media, family 
     FREX: tutoring, media, addiction, private, voting, initiative, capital 
     Lift: adjunct, adopter, amendment, curve, dang, decreasing, extroversion 
     Score: media, addiction, tutoring, voting, leisure, trio-sss, capital 
Topic 6 Top Words:
     Highest Prob: students, college, school, rural, high, study, education 
     FREX: rural, foster, s, readiness, latinx, counselors, school 
     Lift: 1985-1995, 20-30, 2005-2015, 2016–2021, abc, abject, acknowledges 
     Score: rural, latinx, principals, foster, readiness, school, counselor 
Topic 7 Top Words:
     Highest Prob: students, learning, college, study, online, community, courses 
     FREX: adhd, learning, self-advocacy, ld, older, intergenerational, courses 
     Lift: autistic, pd, 111–127, 2012-2013, 2015-2016, 2017–19, 3-day 
     Score: adhd, ld, intergenerational, empathy, self-advocacy, tslc, burnout 
Topic 8 Top Words:
     Highest Prob: college, study, students, research, data, interviews, participants 
     FREX: nontraditional, themes, interview, case, interviews, qualitative, questions 
     Lift: abe, 18-to-24, 18–22, 2020–2021, 4s, adhered, alabama 
     Score: nontraditional, abe, themes, rural, grit, choice, theme 
Topic 9 Top Words:
     Highest Prob: students, developmental, college, mathematics, agriculture, family, study 
     FREX: agriculture, developmental, mathematics, treatment, advisors, pathways, disorders 
     Lift: cardiac, gun, weapons, abnormalities, accentuated, adt, adts 
     Score: agriculture, developmental, mathematics, cardiac, cte, chemical, depression 
Topic 10 Top Words:
     Highest Prob: students, family, college, study, undergraduate, among, families 
     FREX: overcommitment, non-suicidal, undergraduate, frustration, marital, wfc, internet 
     Lift: addicted, agreeableness, atl, behavior-based, beijing, bipoc, ccc 
     Score: overcommitment, cyberbullying, non-suicidal, internet, incivility, cross-cultural, marital 
Topic 11 Top Words:
     Highest Prob: students, college, first, study, generation, academic, student 
     FREX: generation, first, attrition, retention, year, gpa, first-year 
     Lift: -­, 1-1, 1-hour, 1.0-point, 18-21, 2011–2016, 31-survey 
     Score: generation, attrition, retention, first, at-risk, fgs, gpa 
Topic 12 Top Words:
     Highest Prob: family, students, academic, cancer, college, breast, study 
     FREX: breast, aces, cancer, suicidal, sexual, ideation, probation 
     Lift: colombia, dental, detection, hopelessness, non-reporting, srh, stalking 
     Score: breast, cancer, aces, suicidal, non-hispanic, ideation, assault 
Topic 13 Top Words:
     Highest Prob: students, anxiety, college, language, study, family, negative 
     FREX: language, anxiety, somatic, foreign, attachment, maltreatment, profiles 
     Lift: 19-25, ami, aptitude, brokers, ccwm, children's, civitci 
     Score: anxiety, somatic, foreign, maltreatment, surface, attachment, language 
Topic 14 Top Words:
     Highest Prob: support, students, family, college, social, risk, study 
     FREX: pa, risk, adjustment, alcohol, sleep, lt, childhood 
     Lift: 1-10, 1.00-1.16, 1.01-1.13, 1.97-9.40, 2-day, 2.33-10.30, 41-50 
     Score: pa, alcohol, adjustment, lt, cvd, β, ss 
Topic 15 Top Words:
     Highest Prob: students, college, dual, pandemic, covid-19, enrollment, study 
     FREX: dual, pandemic, credit, digital, covid-19, marketing, enrollment 
     Lift: peruvian, 1.25–9.42, 1.27–5.43, 1.29–7.04, 15–june, 3-week, academic-performance 
     Score: dual, credit, digital, aap, covid-19, marketing, pandemic 
Topic 16 Top Words:
     Highest Prob: students, knowledge, attitude, study, college, regarding, nursing 
     FREX: donation, hpv, attitude, organ, vaccination, blood, vaccine 
     Lift: congenital, defects, empowerment, favourable, aor, b.sc, celiac 
     Score: attitude, donation, vaccination, hpv, nursing, vaccine, organ 
Topic 17 Top Words:
     Highest Prob: career, stem, students, college, study, research, interest 
     FREX: stem, career, fields, computing, fgc, science, hmong 
     Lift: 115d–21.5, 1900s, abstractfirst-generation, affectivity, agentic, alliances, annie 
     Score: stem, career, computing, fgc, college-run, cpas, differentiation 
Topic 18 Top Words:
     Highest Prob: students, college, community, study, student, support, transfer 
     FREX: native, belonging, transfer, community, sense, staff, appalachian 
     Lift: impostor, 1st-year, 2023a, 3-year, accommodate, accommodated, accommodating 
     Score: native, transfer, trans, belonging, appalachian, vitality, ftic 
Topic 19 Top Words:
     Highest Prob: health, students, mental, college, family, study, symptoms 
     FREX: mental, health, help-seeking, smoking, symptoms, stressors, depressive 
     Lift: adversities, bipolar, cannabis, cbt, cf, charlas, clinician 
     Score: mental, health, symptoms, smoking, help-seeking, depressive, distress 
Topic 20 Top Words:
     Highest Prob: students, college, education, experiences, study, disabilities, higher 
     FREX: impairments, loc, visual, disabilities, cld, impairment, poverty 
     Lift: cld, returns, scorecard, 3-fold, 4-week, abusing, acts 
     Score: visual, loc, cld, impairments, disabilities, impairment, el 
Topic 21 Top Words:
     Highest Prob: students, education, colleges, college, study, universities, research 
     FREX: pt, tuition, universities, tvet, homeschool, veterans, chinese 
     Lift: 2017-18, bok's, egsece, fe, g.i, georgetown, gifts 
     Score: pt, tuition, ece, homeschool, tvet, resets, nsos 
Topic 22 Top Words:
     Highest Prob: students, college, parents, family, stress, study, first-generation 
     FREX: parents, relational, coping, resilience, stress, messages, trans 
     Lift: behaviours, cheating, first-gen, henryism, race-specific, sounding, suspect 
     Score: coping, trans, maintenance, stress, resilience, relational, first-gen 
Topic 23 Top Words:
     Highest Prob: students, asian, american, college, family, study, higher 
     FREX: asian, writing, americans, american, ei, south, center 
     Lift: math-related, mmiw, strivers, 15-24, 17-year, 1960s, 2010–2011 
     Score: asian, victimization, writing, american, ei, fbcu, south 
Topic 24 Top Words:
     Highest Prob: college, students, study, community, cultural, experiences, participants 
     FREX: wealth, o, latina, engineering, inferiority, latinx, identity 
     Lift: aauw, adler's, echs, engineer, hong, kong, possibilities 
     Score: inferiority, latina, latinx, engineering, o, wealth, capital 
Topic 25 Top Words:
     Highest Prob: students, academic, support, college, study, success, latino 
     FREX: latino, success, challenges, african, faculty, academic, males 
     Lift: accomplishments, alienation, bettinger, chancellor’s, collegial, cross-referenced, deficit-focused 
     Score: latino, african-american, african, male, first-generation, males, hbcus 
plot(myModel, type = "summary")

# get the words
myTopicNames <- labelTopics(myModel, n=4)$frex

# set up an empty vector
myTopicLabels <- rep(NA, k)

# set up a loop to go through the topics and collapse the words to a single name
for (i in 1:k){
    myTopicLabels[i] <- paste(myTopicNames[i,], collapse = "_")
}

# print the names
myTopicLabels
 [1] "pta_y_en_que"                                         
 [2] "asd_disabilities_disability_readiness"                
 [3] "low-income_marriage_educational_becoming"             
 [4] "debt_memorials_veteran_sponsor"                       
 [5] "tutoring_media_addiction_private"                     
 [6] "rural_foster_s_readiness"                             
 [7] "adhd_learning_self-advocacy_ld"                       
 [8] "nontraditional_themes_interview_case"                 
 [9] "agriculture_developmental_mathematics_treatment"      
[10] "overcommitment_non-suicidal_undergraduate_frustration"
[11] "generation_first_attrition_retention"                 
[12] "breast_aces_cancer_suicidal"                          
[13] "language_anxiety_somatic_foreign"                     
[14] "pa_risk_adjustment_alcohol"                           
[15] "dual_pandemic_credit_digital"                         
[16] "donation_hpv_attitude_organ"                          
[17] "stem_career_fields_computing"                         
[18] "native_belonging_transfer_community"                  
[19] "mental_health_help-seeking_smoking"                   
[20] "impairments_loc_visual_disabilities"                  
[21] "pt_tuition_universities_tvet"                         
[22] "parents_relational_coping_resilience"                 
[23] "asian_writing_americans_american"                     
[24] "wealth_o_latina_engineering"                          
[25] "latino_success_challenges_african"                    
# estimate effects
modelEffects <- estimateEffect(formula=1:k~year,
        stmobj = myModel,
        metadata = Text_Data)

# plot effects
myRows <- 2
par(mfrow=c(myRows,3), bty="n", lwd=2)
for (i in 1:k){
    plot.estimateEffect(modelEffects,
        covariate ="year",
        xlim=c(-.25,.25),
        model = myModel,
        topics = modelEffects$topics[i],
        method = "difference",
        cov.value1 = 1,
        cov.value2=0,
        main = myTopicLabels[i],
        printlegend=F,
        linecol="grey26",
        labeltype="custom",
        verbose.labels=F,
        custom.labels=c(""))
    par(new=F)
}

Sentiment Analysis

install.packages("syuzhet",repos = "http://cran.us.r-project.org")
Installing package into 'C:/Users/Admin/AppData/Local/R/win-library/4.4'
(as 'lib' is unspecified)
package 'syuzhet' successfully unpacked and MD5 sums checked

The downloaded binary packages are in
    C:\Users\Admin\AppData\Local\Temp\RtmpUVsRQS\downloaded_packages
library(syuzhet)
Warning: package 'syuzhet' was built under R version 4.4.3
s_v <- get_sentences(Text_Data_Abstract$Abstract[1])
s_v_sentiment <- get_sentiment(s_v)
mean(s_v_sentiment)
[1] 0.9433333
plot(
  s_v_sentiment, 
  type="l", 
  main="Example Plot Trajectory", 
  xlab = "Narrative Time", 
  ylab= "Emotional Valence"
  )

df <- data.frame(
    AbstractID = 1,
    SentenceID = seq(s_v),
    SentimentScore = s_v_sentiment)

s_v_2 <- get_sentences(Text_Data_Abstract$Abstract[2])
s_v_sentiment_2 <- get_sentiment(s_v_2)
df_2 <- data.frame(
    AbstractID = 2,
    SentenceID = seq(s_v_2),
    SentimentScore = s_v_sentiment_2)

df_list <- list(df, df_2)
df_list 
[[1]]
   AbstractID SentenceID SentimentScore
1           1          1           0.00
2           1          2           0.60
3           1          3          -0.90
4           1          4          -0.85
5           1          5           0.25
6           1          6           0.25
7           1          7           1.45
8           1          8           0.00
9           1          9           0.25
10          1         10           1.30
11          1         11           2.20
12          1         12           2.20
13          1         13           4.35
14          1         14           0.05
15          1         15           3.00

[[2]]
  AbstractID SentenceID SentimentScore
1          2          1          -0.30
2          2          2           0.00
3          2          3           0.50
4          2          4          -0.25
5          2          5           2.15
6          2          6           1.80
print(as.data.frame(do.call(rbind, df_list))) 
   AbstractID SentenceID SentimentScore
1           1          1           0.00
2           1          2           0.60
3           1          3          -0.90
4           1          4          -0.85
5           1          5           0.25
6           1          6           0.25
7           1          7           1.45
8           1          8           0.00
9           1          9           0.25
10          1         10           1.30
11          1         11           2.20
12          1         12           2.20
13          1         13           4.35
14          1         14           0.05
15          1         15           3.00
16          2          1          -0.30
17          2          2           0.00
18          2          3           0.50
19          2          4          -0.25
20          2          5           2.15
21          2          6           1.80
sentiment_score <- list()

for (i in seq(Text_Data_Abstract$Abstract)) {
  sentences <- get_sentences(Text_Data_Abstract$Abstract[i])
  sentiment <- get_sentiment(sentences)
  
  # Store as a data frame with abstract ID
  df <- data.frame(
    AbstractID = i,
    SentenceID = seq(sentences),
    SentimentScore = sentiment
  )
  
  sentiment_score[[i]] <- df
}

# Combine all into one data frame
sentiment_df <- print(as.data.frame(do.call(rbind, sentiment_score)))  
     AbstractID SentenceID SentimentScore
1             1          1   0.000000e+00
2             1          2   6.000000e-01
3             1          3  -9.000000e-01
4             1          4  -8.500000e-01
5             1          5   2.500000e-01
6             1          6   2.500000e-01
7             1          7   1.450000e+00
8             1          8   0.000000e+00
9             1          9   2.500000e-01
10            1         10   1.300000e+00
11            1         11   2.200000e+00
12            1         12   2.200000e+00
13            1         13   4.350000e+00
14            1         14   5.000000e-02
15            1         15   3.000000e+00
16            2          1  -3.000000e-01
17            2          2   0.000000e+00
18            2          3   5.000000e-01
19            2          4  -2.500000e-01
20            2          5   2.150000e+00
21            2          6   1.800000e+00
22            3          1   6.500000e-01
23            3          2   2.200000e+00
24            3          3   0.000000e+00
25            3          4   2.500000e-01
26            3          5  -7.500000e-01
27            3          6   5.000000e-01
28            3          7  -1.300000e+00
29            3          8   6.000000e-01
30            3          9  -2.500000e-01
31            4          1  -1.000000e-01
32            4          2   6.000000e-01
33            4          3   5.000000e-01
34            4          4   8.000000e-01
35            4          5   1.150000e+00
36            4          6   4.000000e-01
37            4          7   4.000000e-01
38            4          8   0.000000e+00
39            4          9   4.000000e-01
40            4         10   8.000000e-01
41            5          1   1.500000e-01
42            5          2   0.000000e+00
43            5          3   1.000000e+00
44            5          4   1.250000e+00
45            6          1   2.500000e-01
46            6          2   5.000000e-02
47            6          3   2.250000e+00
48            6          4   3.050000e+00
49            7          1   1.000000e+00
50            7          2   1.000000e+00
51            7          3   4.350000e+00
52            7          4   7.500000e-01
53            7          5   0.000000e+00
54            7          6   1.650000e+00
55            7          7   1.000000e+00
56            7          8   2.050000e+00
57            7          9   2.600000e+00
58            8          1  -3.500000e-01
59            8          2   1.400000e+00
60            8          3   0.000000e+00
61            8          4   2.900000e+00
62            8          5   1.600000e+00
63            8          6   2.200000e+00
64            8          7   1.050000e+00
65            8          8   4.000000e-01
66            9          1   2.000000e-01
67            9          2  -8.000000e-01
68            9          3  -1.500000e+00
69            9          4   3.500000e-01
70            9          5   8.000000e-01
71            9          6   0.000000e+00
72            9          7   3.000000e-01
73            9          8   3.150000e+00
74           10          1   7.500000e-01
75           10          2   7.500000e-01
76           10          3   0.000000e+00
77           10          4   0.000000e+00
78           10          5   2.500000e-01
79           10          6   4.900000e+00
80           10          7  -2.500000e-01
81           10          8   2.700000e+00
82           11          1   1.250000e+00
83           11          2   6.000000e-01
84           11          3  -2.500000e-01
85           11          4   6.000000e-01
86           11          5   3.250000e+00
87           11          6   1.150000e+00
88           11          7   2.800000e+00
89           11          8   1.600000e+00
90           11          9   1.400000e+00
91           12          1   7.500000e-01
92           12          2   8.500000e-01
93           12          3   1.000000e-01
94           12          4  -5.000000e-02
95           12          5   1.000000e-01
96           12          6   2.800000e+00
97           12          7   8.000000e-01
98           12          8   1.000000e-01
99           13          1   5.500000e-01
100          13          2  -1.000000e+00
101          13          3  -5.000000e-01
102          13          4   6.000000e-01
103          13          5  -1.150000e+00
104          13          6  -5.500000e-01
105          13          7   3.500000e-01
106          13          8  -1.300000e+00
107          13          9  -2.500000e-01
108          13         10   5.000000e-01
109          14          1   6.500000e-01
110          14          2   6.000000e-01
111          14          3   0.000000e+00
112          14          4  -5.000000e-01
113          14          5   2.500000e-01
114          14          6   5.000000e-01
115          14          7   1.250000e+00
116          14          8   6.000000e-01
117          15          1   1.050000e+00
118          15          2   3.000000e+00
119          15          3  -2.500000e-01
120          16          1  -1.750000e+00
121          16          2   1.950000e+00
122          16          3   4.000000e-01
123          16          4  -2.250000e+00
124          16          5  -6.000000e-01
125          16          6   1.150000e+00
126          16          7  -2.250000e+00
127          16          8  -1.750000e+00
128          17          1  -1.850000e+00
129          17          2  -1.700000e+00
130          17          3  -1.500000e+00
131          17          4   2.000000e-01
132          17          5  -1.250000e+00
133          17          6   1.550000e+00
134          17          7   5.000000e-01
135          18          1   1.000000e+00
136          18          2  -1.000000e-01
137          18          3   2.500000e-01
138          18          4   2.200000e+00
139          18          5   3.500000e-01
140          18          6   0.000000e+00
141          18          7   0.000000e+00
142          18          8  -2.500000e-01
143          18          9   1.300000e+00
144          19          1   2.450000e+00
145          19          2  -2.500000e-01
146          19          3   2.500000e-01
147          19          4   6.000000e-01
148          19          5   2.800000e+00
149          19          6   1.000000e-01
150          19          7   1.750000e+00
151          20          1   3.050000e+00
152          20          2  -2.500000e-01
153          20          3  -2.500000e-01
154          20          4   6.150000e+00
155          20          5   3.050000e+00
156          20          6   5.350000e+00
157          20          7   3.750000e+00
158          20          8   5.900000e+00
159          21          1   1.000000e+00
160          21          2   1.000000e+00
161          21          3   1.100000e+00
162          21          4   0.000000e+00
163          21          5   4.000000e-01
164          21          6   6.000000e-01
165          21          7   1.000000e+00
166          21          8   2.400000e+00
167          21          9   5.000000e-01
168          21         10   2.000000e+00
169          21         11   1.250000e+00
170          22          1   4.900000e+00
171          22          2   9.000000e-01
172          22          3   5.000000e-01
173          22          4   1.350000e+00
174          23          1   1.800000e+00
175          23          2   1.350000e+00
176          23          3   9.500000e-01
177          23          4   1.200000e+00
178          24          1   3.650000e+00
179          24          2   1.250000e+00
180          24          3   7.500000e-01
181          24          4   3.000000e+00
182          24          5  -1.500000e+00
183          24          6   1.650000e+00
184          24          7   1.950000e+00
185          24          8   9.000000e-01
186          24          9   0.000000e+00
187          25          1   1.800000e+00
188          25          2   2.500000e-01
189          25          3   2.500000e-01
190          25          4   9.000000e-01
191          25          5   6.000000e-01
192          25          6   2.450000e+00
193          25          7  -1.950000e+00
194          25          8   1.650000e+00
195          25          9   1.850000e+00
196          25         10   2.250000e+00
197          25         11   2.400000e+00
198          26          1   1.500000e-01
199          26          2   5.500000e-01
200          26          3   4.250000e+00
201          26          4   8.500000e-01
202          26          5   0.000000e+00
203          26          6   9.500000e-01
204          27          1  -9.000000e-01
205          27          2   1.150000e+00
206          27          3   2.850000e+00
207          27          4   1.700000e+00
208          27          5   0.000000e+00
209          27          6   2.650000e+00
210          28          1   1.900000e+00
211          28          2   1.450000e+00
212          28          3   1.150000e+00
213          28          4   2.450000e+00
214          28          5   1.650000e+00
215          28          6   6.500000e-01
216          28          7   1.850000e+00
217          28          8   0.000000e+00
218          28          9   1.000000e+00
219          29          1  -1.400000e+00
220          29          2   2.500000e-01
221          29          3   3.500000e-01
222          29          4   1.800000e+00
223          29          5  -5.000000e-02
224          29          6  -4.000000e-01
225          29          7  -1.300000e+00
226          29          8  -7.500000e-01
227          29          9   8.000000e-01
228          29         10   9.500000e-01
229          29         11  -7.000000e-01
230          30          1  -2.250000e+00
231          30          2   1.600000e+00
232          30          3   1.250000e+00
233          30          4   4.500000e-01
234          30          5   2.000000e+00
235          31          1   1.150000e+00
236          31          2   4.000000e-01
237          31          3  -2.500000e-01
238          31          4   2.750000e+00
239          31          5  -1.000000e+00
240          31          6   3.850000e+00
241          31          7   1.000000e+00
242          31          8   1.350000e+00
243          31          9   4.000000e-01
244          32          1   4.000000e+00
245          32          2   3.500000e-01
246          32          3   4.500000e+00
247          32          4   7.500000e-01
248          32          5   4.000000e-01
249          32          6   2.800000e+00
250          32          7   6.500000e-01
251          32          8   1.800000e+00
252          32          9   6.500000e-01
253          32         10   1.850000e+00
254          32         11   1.150000e+00
255          32         12   3.750000e+00
256          33          1   1.900000e+00
257          33          2   2.000000e+00
258          33          3   2.500000e-01
259          33          4   0.000000e+00
260          33          5   2.950000e+00
261          33          6   2.000000e+00
262          33          7   3.100000e+00
263          33          8   1.150000e+00
264          33          9   2.100000e+00
265          33         10   3.250000e+00
266          34          1   2.050000e+00
267          34          2   1.650000e+00
268          34          3   0.000000e+00
269          34          4  -8.000000e-01
270          35          1  -7.500000e-01
271          35          2   1.650000e+00
272          35          3  -8.500000e-01
273          35          4   1.200000e+00
274          35          5  -1.500000e-01
275          35          6   5.000000e-01
276          36          1  -1.450000e+00
277          36          2  -2.150000e+00
278          36          3  -2.350000e+00
279          36          4  -1.050000e+00
280          36          5   5.000000e-02
281          36          6  -1.500000e+00
282          36          7   8.000000e-01
283          36          8  -1.000000e-01
284          36          9  -4.000000e-01
285          36         10  -1.000000e+00
286          36         11  -7.500000e-01
287          36         12  -1.600000e+00
288          37          1   2.350000e+00
289          37          2   1.400000e+00
290          37          3   2.700000e+00
291          37          4   5.000000e-01
292          37          5   3.850000e+00
293          37          6  -1.000000e+00
294          38          1  -1.600000e+00
295          38          2  -2.000000e-01
296          38          3   8.000000e-01
297          38          4  -1.750000e+00
298          38          5  -8.500000e-01
299          38          6  -3.000000e+00
300          38          7  -2.750000e+00
301          38          8  -2.500000e-01
302          39          1   1.950000e+00
303          39          2   1.700000e+00
304          39          3   1.850000e+00
305          39          4   2.950000e+00
306          39          5   1.250000e+00
307          39          6   2.000000e+00
308          39          7   1.000000e+00
309          40          1  -1.000000e-01
310          40          2   0.000000e+00
311          40          3  -1.500000e-01
312          40          4   9.500000e-01
313          40          5  -2.650000e+00
314          40          6   1.800000e+00
315          40          7   1.000000e+00
316          40          8  -8.500000e-01
317          41          1   0.000000e+00
318          41          2   1.400000e+00
319          41          3   0.000000e+00
320          41          4   1.000000e+00
321          41          5   1.400000e+00
322          41          6  -8.000000e-01
323          42          1   2.700000e+00
324          42          2   1.250000e+00
325          42          3   8.500000e-01
326          42          4   6.000000e-01
327          42          5   0.000000e+00
328          42          6  -1.000000e-01
329          42          7   6.500000e-01
330          42          8   1.250000e+00
331          42          9   0.000000e+00
332          42         10  -1.250000e+00
333          42         11   5.000000e-01
334          42         12  -2.500000e-01
335          42         13  -1.000000e-01
336          42         14   0.000000e+00
337          42         15   9.000000e-01
338          42         16   1.750000e+00
339          42         17   2.100000e+00
340          42         18   3.050000e+00
341          43          1   1.100000e+00
342          43          2   9.000000e-01
343          43          3   9.000000e-01
344          43          4   1.250000e+00
345          43          5   1.450000e+00
346          44          1  -2.500000e-01
347          44          2   3.500000e-01
348          44          3   1.500000e-01
349          44          4  -1.800000e+00
350          44          5   2.500000e-01
351          44          6  -1.000000e-01
352          44          7   3.500000e-01
353          45          1   2.600000e+00
354          45          2   2.500000e+00
355          45          3   2.450000e+00
356          45          4   6.000000e-01
357          45          5   1.550000e+00
358          45          6  -1.000000e-01
359          45          7   7.500000e-01
360          45          8   1.400000e+00
361          46          1   3.050000e+00
362          46          2   2.750000e+00
363          46          3   2.600000e+00
364          46          4   1.650000e+00
365          46          5   1.250000e+00
366          46          6   1.550000e+00
367          46          7   1.100000e+00
368          47          1  -1.350000e+00
369          47          2  -7.500000e-01
370          47          3   2.500000e-01
371          47          4   5.500000e-01
372          47          5   0.000000e+00
373          47          6   5.000000e-02
374          47          7   1.600000e+00
375          48          1   1.050000e+00
376          48          2  -6.500000e-01
377          48          3  -1.750000e+00
378          48          4   8.000000e-01
379          48          5  -2.500000e-01
380          48          6  -2.250000e+00
381          48          7  -5.000000e-01
382          48          8   3.450000e+00
383          48          9   2.000000e+00
384          49          1  -2.000000e-01
385          49          2   5.500000e-01
386          49          3   4.750000e+00
387          49          4   1.700000e+00
388          49          5   2.800000e+00
389          49          6   1.300000e+00
390          50          1   0.000000e+00
391          50          2   2.250000e+00
392          50          3   2.400000e+00
393          50          4   1.350000e+00
394          51          1   1.500000e+00
395          51          2   4.000000e-01
396          51          3   1.300000e+00
397          51          4   4.000000e-01
398          51          5  -6.500000e-01
399          51          6  -1.900000e+00
400          51          7  -5.000000e-01
401          51          8   5.500000e-01
402          52          1   1.800000e+00
403          52          2   2.450000e+00
404          52          3   3.000000e-01
405          52          4   1.300000e+00
406          52          5   8.000000e-01
407          52          6  -5.000000e-02
408          52          7   2.800000e+00
409          53          1   1.000000e+00
410          53          2   1.600000e+00
411          53          3  -8.500000e-01
412          53          4   1.000000e+00
413          53          5   9.000000e-01
414          53          6   1.700000e+00
415          53          7   2.500000e-01
416          54          1   2.250000e+00
417          54          2  -6.000000e-01
418          54          3   8.000000e-01
419          54          4   1.050000e+00
420          55          1   1.800000e+00
421          55          2   1.300000e+00
422          55          3   2.000000e-01
423          55          4   6.500000e-01
424          55          5   4.000000e+00
425          55          6   1.400000e+00
426          55          7   3.450000e+00
427          55          8  -1.500000e+00
428          55          9   4.100000e+00
429          55         10   1.000000e+00
430          56          1  -3.000000e-01
431          56          2   5.500000e-01
432          56          3  -1.050000e+00
433          56          4  -1.000000e+00
434          56          5  -2.250000e+00
435          56          6   8.500000e-01
436          56          7   1.300000e+00
437          57          1   1.700000e+00
438          57          2   2.550000e+00
439          57          3   6.000000e-01
440          57          4   6.000000e-01
441          57          5   5.000000e-01
442          57          6   1.100000e+00
443          57          7   4.900000e+00
444          58          1   0.000000e+00
445          58          2   1.150000e+00
446          58          3   5.000000e-02
447          58          4   6.000000e-01
448          58          5   1.950000e+00
449          59          1   1.000000e+00
450          59          2   1.450000e+00
451          59          3   2.500000e-01
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1949        224         10   9.500000e-01
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1952        224         13   3.000000e-01
1953        224         14   7.500000e-01
1954        224         15   2.650000e+00
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1971        226          4  -5.000000e-01
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1973        226          6   1.350000e+00
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1976        226          9   4.000000e-01
1977        226         10   5.200000e+00
1978        226         11   2.050000e+00
1979        226         12   0.000000e+00
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1981        227          2   1.600000e+00
1982        227          3   3.500000e+00
1983        227          4   2.350000e+00
1984        227          5   5.750000e+00
1985        227          6   2.750000e+00
1986        227          7   1.650000e+00
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1988        227          9   0.000000e+00
1989        227         10   1.200000e+00
1990        227         11   0.000000e+00
1991        227         12   2.750000e+00
1992        227         13   5.000000e-01
1993        227         14   7.500000e-01
1994        227         15   2.600000e+00
1995        227         16   2.350000e+00
1996        227         17   2.850000e+00
1997        227         18   5.400000e+00
1998        228          1   6.000000e-01
1999        228          2   2.500000e+00
2000        228          3   6.000000e-01
2001        228          4   1.750000e+00
2002        228          5   1.450000e+00
2003        228          6   0.000000e+00
2004        228          7   4.100000e+00
2005        229          1  -6.000000e-01
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2008        229          4   5.000000e-01
2009        229          5   1.250000e+00
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2012        229          8   8.500000e-01
2013        229          9   4.100000e+00
2014        229         10   4.000000e-01
2015        229         11   1.650000e+00
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2030        232          1   1.750000e+00
2031        232          2   1.650000e+00
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7184        784         10   0.000000e+00
7185        784         11   2.500000e-01
7186        784         12   1.250000e+00
7187        784         13   2.900000e+00
7188        784         14   4.350000e+00
7189        784         15   2.300000e+00
7190        784         16   2.250000e+00
7191        784         17   2.950000e+00
7192        785          1   2.100000e+00
7193        785          2   3.500000e-01
7194        785          3   3.000000e+00
7195        785          4   0.000000e+00
7196        785          5   8.500000e-01
7197        785          6   4.000000e-01
7198        785          7   6.500000e-01
7199        786          1   6.500000e-01
7200        786          2   1.000000e+00
7201        786          3   6.500000e-01
7202        786          4   8.000000e-01
7203        786          5   2.500000e-01
7204        786          6   1.550000e+00
7205        786          7   9.000000e-01
7206        786          8   1.450000e+00
7207        786          9   5.000000e-01
7208        787          1   2.400000e+00
7209        787          2   0.000000e+00
7210        787          3   1.650000e+00
7211        787          4   0.000000e+00
7212        787          5   0.000000e+00
7213        787          6   0.000000e+00
7214        787          7   4.000000e-01
7215        787          8   5.000000e-01
7216        787          9   2.500000e-01
7217        787         10   0.000000e+00
7218        787         11   5.000000e-01
7219        787         12   0.000000e+00
7220        787         13   5.000000e-01
7221        787         14   6.000000e-01
7222        787         15   2.900000e+00
7223        787         16   2.500000e-01
7224        787         17   1.800000e+00
7225        787         18   8.500000e-01
7226        788          1   0.000000e+00
7227        788          2   1.100000e+00
7228        788          3   5.000000e-01
7229        788          4   1.550000e+00
7230        788          5   6.500000e-01
7231        788          6   1.050000e+00
7232        789          1   1.000000e-01
7233        789          2   5.500000e-01
7234        789          3   6.500000e-01
7235        789          4   7.500000e-01
7236        789          5   2.500000e-01
7237        789          6   4.400000e+00
7238        789          7   5.000000e-01
7239        789          8   4.550000e+00
7240        789          9   2.250000e+00
7241        790          1   1.750000e+00
7242        790          2   3.650000e+00
7243        790          3   1.700000e+00
7244        790          4   1.150000e+00
7245        790          5   2.400000e+00
7246        790          6   2.500000e-01
7247        790          7   1.950000e+00
7248        790          8   2.800000e+00
7249        790          9   2.100000e+00
7250        790         10   5.150000e+00
7251        790         11   5.100000e+00
7252        791          1   3.100000e+00
7253        791          2  -1.350000e+00
7254        791          3   1.200000e+00
7255        791          4   5.000000e-01
7256        791          5   2.700000e+00
7257        791          6   5.000000e-01
7258        791          7   0.000000e+00
7259        791          8   4.000000e-01
7260        791          9   0.000000e+00
7261        791         10   0.000000e+00
7262        791         11   0.000000e+00
7263        791         12   0.000000e+00
7264        791         13   0.000000e+00
7265        791         14   2.500000e-01
7266        791         15   1.950000e+00
7267        792          1   6.000000e-01
7268        792          2   1.800000e+00
7269        792          3   1.650000e+00
7270        792          4   2.550000e+00
7271        792          5   0.000000e+00
7272        792          6   1.650000e+00
7273        792          7   1.800000e+00
7274        792          8   3.000000e+00
7275        793          1   1.400000e+00
7276        793          2   7.500000e-01
7277        793          3   0.000000e+00
7278        793          4   7.500000e-01
7279        793          5   1.250000e+00
7280        793          6   1.600000e+00
7281        793          7   5.000000e-01
7282        793          8   1.950000e+00
7283        794          1   2.500000e-01
7284        794          2  -1.500000e-01
7285        794          3   2.150000e+00
7286        794          4   2.150000e+00
7287        794          5   2.500000e+00
7288        794          6   5.200000e+00
7289        794          7   0.000000e+00
7290        794          8   6.500000e-01
7291        794          9   0.000000e+00
7292        794         10   2.500000e-01
7293        794         11   1.050000e+00
7294        794         12   6.500000e-01
7295        794         13   0.000000e+00
7296        794         14   1.200000e+00
7297        794         15   3.900000e+00
7298        794         16   2.200000e+00
7299        794         17   3.050000e+00
7300        795          1   1.250000e+00
7301        795          2   8.500000e-01
7302        795          3   7.550000e+00
7303        795          4   2.500000e+00
7304        795          5   3.100000e+00
7305        796          1   2.850000e+00
7306        796          2   5.000000e-01
7307        796          3   2.500000e-01
7308        796          4   3.350000e+00
7309        796          5   2.900000e+00
7310        796          6   2.200000e+00
7311        796          7   0.000000e+00
7312        796          8   4.000000e-01
7313        796          9   3.200000e+00
7314        796         10   2.500000e-01
7315        796         11   2.800000e+00
7316        796         12   1.550000e+00
7317        796         13   1.600000e+00
7318        797          1   3.000000e+00
7319        797          2   1.300000e+00
7320        797          3   2.500000e-01
7321        797          4   0.000000e+00
7322        797          5   7.500000e-01
7323        797          6   8.000000e-01
7324        797          7   6.000000e-01
7325        797          8   1.800000e+00
7326        797          9   0.000000e+00
7327        797         10   1.000000e-01
7328        797         11   9.000000e-01
7329        798          1   1.200000e+00
7330        798          2   0.000000e+00
7331        798          3   1.000000e+00
7332        798          4  -7.500000e-01
7333        798          5  -4.250000e+00
7334        798          6   1.000000e+00
7335        798          7  -1.000000e-01
7336        798          8   3.000000e-01
7337        798          9   2.150000e+00
7338        798         10   3.200000e+00
7339        798         11   1.300000e+00
7340        798         12   2.050000e+00
7341        798         13   2.250000e+00
7342        798         14   0.000000e+00
7343        798         15   9.000000e-01
7344        798         16   0.000000e+00
7345        798         17   1.650000e+00
7346        798         18   0.000000e+00
7347        798         19   2.350000e+00
7348        798         20   2.400000e+00
7349        798         21   0.000000e+00
7350        798         22   0.000000e+00
7351        798         23   2.350000e+00
7352        798         24  -2.500000e-01
7353        798         25   1.800000e+00
7354        798         26   8.000000e-01
7355        798         27   4.850000e+00
7356        798         28   2.100000e+00
7357        798         29   3.650000e+00
7358        799          1   2.500000e-01
7359        799          2   2.600000e+00
7360        799          3   1.400000e+00
7361        799          4   0.000000e+00
7362        799          5   6.500000e-01
7363        799          6   3.500000e-01
7364        799          7   4.300000e+00
7365        799          8   0.000000e+00
7366        799          9   2.250000e+00
7367        799         10   5.000000e-01
7368        799         11   1.250000e+00
7369        799         12   1.600000e+00
7370        799         13   4.000000e-01
7371        799         14   5.000000e-01
7372        799         15   1.500000e-01
7373        799         16   0.000000e+00
7374        799         17   2.900000e+00
7375        799         18   3.000000e-01
7376        800          1   2.000000e+00
7377        800          2   7.500000e-01
7378        800          3   6.000000e-01
7379        800          4   8.500000e-01
7380        800          5   6.000000e-01
7381        800          6   5.000000e-01
7382        800          7   4.150000e+00
7383        800          8   1.750000e+00
7384        800          9   6.500000e-01
7385        800         10   1.200000e+00
7386        800         11   1.400000e+00
7387        801          1   0.000000e+00
7388        801          2   0.000000e+00
7389        801          3   1.100000e+00
7390        801          4   1.050000e+00
7391        801          5   1.850000e+00
7392        801          6   1.400000e+00
7393        801          7   2.500000e-01
7394        801          8   1.100000e+00
7395        801          9   1.200000e+00
7396        801         10   1.300000e+00
7397        801         11   1.550000e+00
7398        802          1   1.450000e+00
7399        802          2   1.700000e+00
7400        802          3   1.450000e+00
7401        802          4   2.500000e-01
7402        802          5   1.050000e+00
7403        802          6   9.000000e-01
7404        802          7   3.600000e+00
7405        802          8   1.200000e+00
7406        802          9   2.650000e+00
7407        802         10  -3.500000e-01
# View the first few rows
head(sentiment_df)
  AbstractID SentenceID SentimentScore
1          1          1           0.00
2          1          2           0.60
3          1          3          -0.90
4          1          4          -0.85
5          1          5           0.25
6          1          6           0.25
options(scipen=999)
sentiment_score_mean <- sentiment_df %>% group_by(AbstractID) %>% summarise(mean=mean(SentimentScore))

plot(
  sentiment_score_mean, 
  type="l", 
  main="Sentiment Mean Score Plot Trajectory", 
  xlab = "Text number lable", 
  ylab= "Emotional Valence"
  )

Text_Data$sentiment_score_mean <- sentiment_score_mean$mean  

Text_Data %>% summarise(max=max(sentiment_score_mean), min=min(sentiment_score_mean))
# A tibble: 1 × 2
    max   min
  <dbl> <dbl>
1  4.62 -2.28
Sentiment_score_high <- Text_Data %>% filter(sentiment_score_mean==max(sentiment_score_mean))%>%select(Abstract)

Sentiment_score_high[[1]]
[1] "The five procedures undertaken to obtain relevant literature for this literature review included: (1) a computer search of relevant databases (e.g., EBSCOhost, Education Full Text, Academic Search Premier, ProQuest, ProQuest Dissertations and Theses) for articles, books, dissertations, and theses; (2) a hand search of relevant journals (e.g., Education Week, ERIC, ASHE Higher Education Report Series, Journal of Higher Education, Journal of College Student Retention, Journal of Educational Psychology, Review of Educational Research, Community College Review); (3) a search of relevant websites (e.g., U.S. Department of Education, Florida Department of Education, Take Stock in Children, Jack Kent Cooke Foundation); (4) a search of references in relevant articles, chapters, and books for relevant citations; and (5) contacting experts in the topic area for suggestions about additional references. Psychosocial Development: (a) Conscientiousness, self-esteem, social support, and life experiences (Napoli &amp; Wortman, 1998; Schmertz, 2010) (b) Social and emotional support from parents/family (Deafenbaugh, 2007) (c) On-campus supports to match the social and emotional support of family and precollege friends (Bergerson, 2007; Chhen Stewart, 2012; Deafenbaugh, 2007) (d) Sense of adjustment, comfort, belonging, and competence (Byrd &amp; MacDonald, 2005; Deil-Amen, 2011) (e) Sense of self-efficacy (Flowers, 2006; McLoughlin, 2011; Schmertz, 2010) (f) Success strategies-time management, goal focus, writing abilities, test taking, and self-advocacy (Byrd &amp; MacDonald, 2005; Feldman &amp; Zimbler, 2011) (g) Isolation from day-to-day demands of family, friends, and work (Napoli &amp; Wortman, 1998) (h) Background factors and life experiences-parental and family responsibilities as well as work and career experiences (Flowers, 2006) (i) Self-regulated learning (Black, 2008) (j) Student's educational expectancies (Diemer &amp; Li, 2012) (k) Social and cultural capital (McLoughlin, 2011) The extensive nature of the psychosocial development factors identified by research contribute to my tentative theory of the phenomenon of nonpersistent college students-high-achieving, low-income students in community colleges may require psychosocial development in order to persist in college."
Sentiment_score_low <- Text_Data %>% filter(sentiment_score_mean==min(sentiment_score_mean))%>%select(Abstract)

Sentiment_score_low[[1]]
[1] "Objectives: Based on acculturative family distancing theory, we examined whether familial acculturative stress interacted with hopelessness to predict suicidal ideation differentially among emerging adult immigrant versus nonimmigrant college students. Participants: We recruited 152 generationally and racially/ethnically diverse college students (42 immigrants) from 2012 to 2013. Methods: Participants completed measures of hopelessness, depressive symptoms, ethnic identity, familial acculturative stress, and suicidal ideation. Results: Immigrant status interacted with hopelessness and familial acculturative stress. Hopelessness was associated with less suicidal ideation among immigrants than among nonimmigrants at a familial acculturative stress score below the 11th percentile, but greater suicidal ideation among immigrants than among nonimmigrants at a familial acculturative stress score above the 72nd percentile. Conclusions: Familial acculturative stress may exacerbate the effect of hopelessness on suicidal ideation among immigrant college students, and should be monitored during suicide risk assessment and treatment."