Final Project
Analysis of Mission and Vision Statements for the NCCCS System
Deborah E. Lucas
8 April 2024
An Analysis of Mission and Vision Statements for Higher Education
Introduction
In higher education today, the concept of rhetorical analysis is often conflated with rhetoric. That rhetoric often focuses on concepts of diversity, equity, and access. The ideal of access for all in education is a lofty, and often unrealized, objective. The concept of access and opportunity for all does not always align with the actual progress toward that lofty goal. Until very recently, under-represented and marginalized groups lacked access to opportunities in higher education (Renn and Reason 2023).
While the issues of access and opportunity are being addressed by institutions across the country, the issue of how to support those students has become the object of scholarly research and institutional focus. The buzzwords diversity, equity, inclusion, and access have become highly contested in social, political, and cultural discourse. Yet, institutions readily embrace those buzzwords as the cornerstone of their mission, vision, and values often enshrining these concepts in their mission and vision statements. While institutions readily embrace these ideals, the implementation of actionable policies, guidelines, and action often fall short of the idealized codas.
This project will analyze the topics and themes identified in the the Mission and Vision statements of the 58 colleges within the North Carolina Community College System. The purpose of this analysis is to identify commonalities among these statements. As a measurement of the implementation of these mission and vision statements, further analysis and visual representation of the Diversity and Disability Services statements of the same 58 community colleges will be analyzed.
Prepare
Context: A review of the literature reveals that disability as a component of diversity identity has been largely ignored. However, when students with disabilities are included in conversations about identity, those conversations more often include ideas related to access and how to hold institutions accountable for ensuring all students have equitable access. Large quantitative studies focus on institutional websites which is openly available to the public (Wilson, Meyer, and McNeal 2011; Leslie et al. 2023).
Data Source & Analysis:
The mission, vision, diversity, and disability statements from each of the 58 North Carolina Community Colleges within the system were retrieved individually from each institution’s website and collected in to an Excel spreadsheet. The four distinct areas of interest for this project were - Mission Statements, Vision Statements, Disability Services Statements, and Diversity Statements. While most institutions have mission and vision statements as required as part of the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), not all institutions post that information in an easy to find location on their websites. Some institutions buried that information in their accreditation information while others had direct links to the mission and vision statements. Similarly, Disability Services are required by federal law, so the Disability Services statements were very easy to locate. Much of the information about disability services is governed by law and these statements relied heavily on citing the relevant law. Conversely, Diversity Statements are not required, and in North Carolina only just over half of the institutions posted explicit statements regarding their institutional commitment to diversity. Since accreditation and certification is reviewed on a 5-year cycle, all of the statements presented are current with the most common cycle being the 2020-2025 renewal cycle.
Intended Audience:
This project could serve higher education leaders by providing a concise representation of how the mission and vision of their institution can guide their diversity efforts and disability services by demonstrating the intersectionality of mission and vision with the actual services and commitments the institution makes toward vulnerable and underrepresented student populations.
Key Sources:
Andrade, L. M., & Lundberg, C. A. (2018). The function to serve: A social-justice-oriented investigation of community college mission statements. Journal of Hispanic Higher Education, 17(1), 61-75. https://doi.org/10.1177/1538192716653503 (Andrade and Lundberg 2016)
Cherney, James L. 2019. Ableist Rhetoric. Penn State UniversityPress. https://doi.org/10.1515/9780271085296. (Cherney 2019)
Moore, W. C. (2023). The mission statement: Examining campus culture and its influence on academic motivation among minority community college students (Publication No. 30485142)
Summary of Key Findings:
Dedication to the ideals of diversity, equity, inclusion, and access rarely reflects or results in actual policies and practice at many institutions. This lack of implementation is partially affected by unclear definitions of these terms which are often taken for granted. This confusion leads directly to a lack of holistic implementation of best-practices and institutional action that affects student success. Within the North Carolina Community College System, the ad-hoc approach to diversity and acclaimed adherence to these ideals is evidenced by the fact that 18/58 (31%) institutions do not have a clear diversity statement on their website. While nearly all of the institutions do have a disability services statement, many of those rely heavily on the legal requirement to provide services to identified students.
Guiding Questions:
What are the common themes of mission statements across the 58 NCCCS institutions?
What are the common themes of vision statements across the 58 NCCCS institutions?
What are the common themes presented in the disability statements across the 58 NCCCS institutions?
What are the common themes presented in the diversity statements across the 58 NCCCS institutions?
How does diversity, disability, and access intersect with the mission statements of the 58 NCCCS institutions?
Project Setup
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## Papers, resources, and other materials at structuraltopicmodel.comWrangle Data
The data wrangling for this project involves cleaning, reshaping, transforming, and merging data (Grolemund and Wickham 2015). This data wrangling process occurs for each question.
This code reads data from an Excel file named “mission.xlsx” into a
dataframe named mission. This assumes that
the Excel file contains mission-related data.
## # A tibble: 6 × 2
## word lexicon
## <chr> <chr>
## 1 a SMART
## 2 a's SMART
## 3 able SMART
## 4 about SMART
## 5 above SMART
## 6 according SMARTThis line loads a dataset named “stop_words”, presumably containing common stopwords, into the R environment.
Analysis of Question 1
What are the common themes of mission statements across the 58 NCCCS institutions?
In order to answer this question, we specifically looked at the column Mission_Statement within the mission dataset.
## Joining with `by = join_by(word)`This displays the first few rows of the “stop_words” dataset, to check its contents.
## # A tibble: 25 × 2
## word n
## <chr> <int>
## 1 community 72
## 2 college 52
## 3 learning 30
## 4 development 25
## 5 quality 22
## 6 workforce 22
## 7 educational 19
## 8 opportunities 19
## 9 economic 15
## 10 student 15
## # ℹ 15 more rows## <<DocumentTermMatrix (documents: 321, terms: 321)>>
## Non-/sparse entries: 321/102720
## Sparsity : 100%
## Maximal term length: NA
## Weighting : term frequency (tf)## Warning in tm_map.SimpleCorpus(corpus, content_transformer(tolower)):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removePunctuation): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeNumbers): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, stopwords("en")):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, c("community college", :
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, stripWhitespace): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, stemDocument): transformation drops
## documents## List of 3
## $ documents: num [1:54, 1:278] 1 0 1 0 0 0 1 0 1 0 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ Docs : chr [1:54] "1" "2" "3" "4" ...
## .. ..$ Terms: chr [1:278] "access" "develop" "educ" "enrich" ...
## $ data : tibble [54 × 8] (S3: tbl_df/tbl/data.frame)
## ..$ Institution : chr [1:54] "Johnston CC" "Cape Fear CC" "Mitchell CC" "Rowan-Cabarrus CC" ...
## ..$ Enrollment : num [1:54] NA NA NA NA NA NA NA NA NA NA ...
## ..$ Diversity Office : chr [1:54] NA NA NA NA ...
## ..$ Disability_Services: chr [1:54] "The Accessibility Services Office provides academic accommodations to support students with disabilities and ad"| __truncated__ "Cape Fear Community College will be responsible for ensuring that students with disabilities have equal, effect"| __truncated__ NA "The Office of Accessibility at Rowan-Cabarrus is offered to assist students with disabilities in achieving thei"| __truncated__ ...
## ..$ Mission_Statement : chr [1:54] "Johnston Community College provides accessible, equitable, high-quality educational and community enrichment op"| __truncated__ "The mission of Cape Fear Community College is to provide high-quality, dynamic, innovative, educational, cultur"| __truncated__ "Mitchell Community College provides equitable access to affordable, high-quality learning experiences and servi"| __truncated__ "Rowan-Cabarrus Community College improves lives and builds community through public higher education and workfo"| __truncated__ ...
## ..$ Vision_Statement : chr [1:54] "Johnston Community College will be the recognized leader in North Carolina for academic success and workforce d"| __truncated__ "Cape Fear Community College: A world-class college serving diverse communities, promoting excellence through in"| __truncated__ "Mitchell Community College aspires to be a catalyst that nurtures intellect, ignites creativity, fosters innova"| __truncated__ "Building sustainable futures through the power of learning." ...
## ..$ EEO Statement : chr [1:54] NA "Cape Fear Community College (the “College”) is committed to equality in employment and does not discriminate ag"| __truncated__ NA NA ...
## ..$ Diversity_Statement: chr [1:54] "1. Provide and support personal and cultural enrichment, outreach, and community-based programs, activities, an"| __truncated__ "At Cape Fear Community College, we work to create a welcoming and productive atmosphere for academic and person"| __truncated__ "At Mitchell Community College, we believe an inclusive culture puts diversity into action by producing a climat"| __truncated__ "At Rowan-Cabarrus Community College, we believe fostering a sense of belonging is essential for our students, f"| __truncated__ ...
## $ vocab : chr [1:278] "access" "develop" "educ" "enrich" ...## Building corpus...
## Converting to Lower Case...
## Removing punctuation...
## Removing stopwords...
## Removing numbers...
## Stemming...
## Creating Output...This series of code accomplishes the following:
The unnest_tokens function tokenizes the text in the “Mission_Statement” columns of the mission dataframe, splitting it in to individual words and storing them in a new column named “word” within the “mission_tidy” dataframe. Then common stopwords were removed from the tokenized words. Then the occurrences of each word in the tokenized and cleaned data were counted and sorted in to descending order. Then a Document-Term Matrix was created from the cleaned, tokenized words and counted and converted into the DTM format. The textProcessor function was defined to preprocess text data by creating a corpus from the “Mission_Statement” column of the input data. Then the text was cleaned up by converting all text to lower case, removing punctuation, numbers, stopwords and custom stopwords. The words were then stemmed to their root words and a DTM was constructed from the processed data.
Modeling Question 1
## [1] 54## A LDA_VEM topic model with 10 topics.## A topic model with 20 topics, 53 documents and a 272 word dictionary.
## Loading required namespace: servr## Topic 1 Topic 2 Topic 3 Topic 4 Topic 5
## [1,] "students" "student" "learning" "economic" "quality"
## [2,] "success" "personal" "excellence" "mission" "lifelong"
## [3,] "training" "access" "support" "affordable" "providing"
## [4,] "diverse" "programs" "institution" "individuals" "carolina"
## [5,] "innovative" "successful" "service" "career" "committed"
## Topic 6 Topic 7 Topic 8 Topic 9 Topic 10
## [1,] "community" "educational" "workforce" "development" "college"
## [2,] "opportunities" "life" "centered" "accessible" "education"
## [3,] "cultural" "county" "technical" "enrichment" "services"
## [4,] "education" "lives" "competitive" "communities" "improve"
## [5,] "educational" "provide" "enhance" "partnerships" "actively"## # A tibble: 3,210 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 academic 5.89e-220
## 2 2 academic 1.81e-220
## 3 3 academic 1.22e-220
## 4 4 academic 2.39e-220
## 5 5 academic 2.39e-220
## 6 6 academic 2.39e-220
## 7 7 academic 3.37e- 2
## 8 8 academic 1.81e-220
## 9 9 academic 2.39e-220
## 10 10 academic 1.98e-195
## # ℹ 3,200 more rows
## # A tibble: 3,210 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 academic 5.89e-220
## 2 2 academic 1.81e-220
## 3 3 academic 1.22e-220
## 4 4 academic 2.39e-220
## 5 5 academic 2.39e-220
## 6 6 academic 2.39e-220
## 7 7 academic 3.37e- 2
## 8 8 academic 1.81e-220
## 9 9 academic 2.39e-220
## 10 10 academic 1.98e-195
## # ℹ 3,200 more rows## # A tibble: 3,210 × 3
## document topic gamma
## <chr> <int> <dbl>
## 1 academic 1 0.00536
## 2 access 1 0.00237
## 3 accessibility 1 0.0145
## 4 accessible 1 0.00140
## 5 accomplished 1 0.0145
## 6 achieve 1 0.00783
## 7 actively 1 0.0145
## 8 advances 1 0.00783
## 9 affordable 1 0.00167
## 10 agencies 1 0.0145
## # ℹ 3,200 more rows## Warning: `cols` is now required when using `unnest()`.
## ℹ Please use `cols = c(terms)`.## [1] "topic" "gamma" "term" "beta"| Topic | Expected topic proportion | Top 7 terms |
|---|---|---|
| Topic 3 | 0.164 | learning |
| Topic 3 | 0.164 | excellence |
| Topic 3 | 0.164 | support |
| Topic 3 | 0.164 | institution |
| Topic 3 | 0.164 | service |
| Topic 2 | 0.159 | access |
| Topic 2 | 0.159 | programs |
| Topic 2 | 0.159 | successful |
| Topic 2 | 0.159 | completion |
| Topic 2 | 0.159 | counties |
| Topic 4 | 0.135 | economic |
| Topic 4 | 0.135 | mission |
| Topic 4 | 0.135 | affordable |
| Topic 4 | 0.135 | individuals |
| Topic 4 | 0.135 | career |
| Topic 5 | 0.124 | quality |
| Topic 5 | 0.124 | lifelong |
| Topic 5 | 0.124 | providing |
| Topic 5 | 0.124 | carolina |
| Topic 5 | 0.124 | committed |
| Topic 8 | 0.121 | workforce |
| Topic 8 | 0.121 | centered |
| Topic 8 | 0.121 | technical |
| Topic 8 | 0.121 | competitive |
| Topic 8 | 0.121 | enhance |
| Topic 9 | 0.116 | development |
| Topic 9 | 0.116 | accessible |
| Topic 9 | 0.116 | enrichment |
| Topic 9 | 0.116 | communities |
| Topic 9 | 0.116 | partnerships |
| Topic 7 | 0.063 | educational |
| Topic 7 | 0.063 | provide |
| Topic 7 | 0.063 | teaching |
| Topic 7 | 0.063 | equitable |
| Topic 7 | 0.063 | growth |
| Topic 1 | 0.057 | success |
| Topic 1 | 0.057 | training |
| Topic 1 | 0.057 | diverse |
| Topic 1 | 0.057 | innovative |
| Topic 1 | 0.057 | environment |
| Topic 10 | 0.042 | education |
| Topic 10 | 0.042 | services |
| Topic 10 | 0.042 | improve |
| Topic 10 | 0.042 | actively |
| Topic 10 | 0.042 | forsyth |
| Topic 6 | 0.020 | opportunities |
| Topic 6 | 0.020 | cultural |
| Topic 6 | 0.020 | education |
| Topic 6 | 0.020 | educational |
| Topic 6 | 0.020 | workforce |
## Warning in geom_text(aes(label = top_term), vjust = 0.5, hjust = -0.75, :
## Ignoring unknown parameters: `fill` and `box.padding`
This series of code accomplishes the following:
These code chunks provide a comprehensive analysis of the topics present in the mission statements dataset, allowing for exploration and interpretation of the underlying themes. Generates visualizations and tables to display top terms and topics, including bar plots of topic proportions and a table showing top topics with expected proportions and top terms. Further processing is completed to organize and format the data for better readability and interpretation.
Summary of Question 1
Looking at the key terms in the mission statements from the 58 NC Community Colleges, it is clear that learning, access, success, and opportunities are critical terms within the construction of these mission statements. From this analysis, it is important to realize that the goals of these institutions are rather lofty. However, the actual success metrics show a much different story:
Only 50% of NC Community College students who began their studies between 20-25 completed a degree or credential within 6 years (Postsecondary Completion Rate).
Analysis of Question 2
What are the common themes of vision statements across the 58 NCCCS institutions?
In order to answer this question, we specifically looked at the column Vision_Statement in the mission dataset.
Note: The text processing and visualization process for Question 2 is similar to the text processing used for Question 1. This process is explained in detail above.
## # A tibble: 6 × 2
## word lexicon
## <chr> <chr>
## 1 a SMART
## 2 a's SMART
## 3 able SMART
## 4 about SMART
## 5 above SMART
## 6 according SMART## Joining with `by = join_by(word)`## # A tibble: 25 × 2
## word n
## <chr> <int>
## 1 community 43
## 2 college 31
## 3 educational 16
## 4 learning 16
## 5 education 15
## 6 economic 14
## 7 student 13
## 8 development 12
## 9 lives 12
## 10 quality 12
## # ℹ 15 more rows## <<DocumentTermMatrix (documents: 322, terms: 322)>>
## Non-/sparse entries: 322/103362
## Sparsity : 100%
## Maximal term length: NA
## Weighting : term frequency (tf)## Warning in tm_map.SimpleCorpus(corpus, content_transformer(tolower)):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removePunctuation): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeNumbers): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, stopwords("en")):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, c("community college", :
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, stripWhitespace): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, stemDocument): transformation drops
## documents## List of 3
## $ documents: num [1:54, 1:288] 1 0 0 0 0 0 0 0 0 0 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ Docs : chr [1:54] "1" "2" "3" "4" ...
## .. ..$ Terms: chr [1:288] "academ" "belong" "carolina" "develop" ...
## $ data : tibble [54 × 8] (S3: tbl_df/tbl/data.frame)
## ..$ Institution : chr [1:54] "Johnston CC" "Cape Fear CC" "Mitchell CC" "Rowan-Cabarrus CC" ...
## ..$ Enrollment : num [1:54] NA NA NA NA NA NA NA NA NA NA ...
## ..$ Diversity Office : chr [1:54] NA NA NA NA ...
## ..$ Disability_Services: chr [1:54] "The Accessibility Services Office provides academic accommodations to support students with disabilities and ad"| __truncated__ "Cape Fear Community College will be responsible for ensuring that students with disabilities have equal, effect"| __truncated__ NA "The Office of Accessibility at Rowan-Cabarrus is offered to assist students with disabilities in achieving thei"| __truncated__ ...
## ..$ Mission_Statement : chr [1:54] "Johnston Community College provides accessible, equitable, high-quality educational and community enrichment op"| __truncated__ "The mission of Cape Fear Community College is to provide high-quality, dynamic, innovative, educational, cultur"| __truncated__ "Mitchell Community College provides equitable access to affordable, high-quality learning experiences and servi"| __truncated__ "Rowan-Cabarrus Community College improves lives and builds community through public higher education and workfo"| __truncated__ ...
## ..$ Vision_Statement : chr [1:54] "Johnston Community College will be the recognized leader in North Carolina for academic success and workforce d"| __truncated__ "Cape Fear Community College: A world-class college serving diverse communities, promoting excellence through in"| __truncated__ "Mitchell Community College aspires to be a catalyst that nurtures intellect, ignites creativity, fosters innova"| __truncated__ "Building sustainable futures through the power of learning." ...
## ..$ EEO Statement : chr [1:54] NA "Cape Fear Community College (the “College”) is committed to equality in employment and does not discriminate ag"| __truncated__ NA NA ...
## ..$ Diversity_Statement: chr [1:54] "1. Provide and support personal and cultural enrichment, outreach, and community-based programs, activities, an"| __truncated__ "At Cape Fear Community College, we work to create a welcoming and productive atmosphere for academic and person"| __truncated__ "At Mitchell Community College, we believe an inclusive culture puts diversity into action by producing a climat"| __truncated__ "At Rowan-Cabarrus Community College, we believe fostering a sense of belonging is essential for our students, f"| __truncated__ ...
## $ vocab : chr [1:288] "academ" "belong" "carolina" "develop" ...Modeling Question 2
## [1] 52## A LDA_VEM topic model with 10 topics.## A topic model with 20 topics, 53 documents and a 272 word dictionary.
## Topic 1 Topic 2 Topic 3 Topic 4 Topic 5
## [1,] "learning" "life" "college" "education" "development"
## [2,] "students" "provide" "cultural" "opportunities" "catalyst"
## [3,] "excellence" "innovative" "services" "transforming" "experiences"
## [4,] "leader" "training" "colleges" "diverse" "region"
## [5,] "providing" "developing" "residents" "institution" "empowering"
## [6,] "vision" "enhance" "successful" "advanced" "individuals"
## [7,] "achieving" "premier" "broadening" "choice" "opportunity"
## [8,] "beaufort" "affordable" "cape" "goals" "personal"
## [9,] "committed" "engaging" "chowan" "offering" "provider"
## [10,] "completion" "faculty" "develops" "prepare" "teaching"
## [11,] "counties" "foster" "empower" "strives" "attainment"
## [12,] "davie" "growth" "ensures" "strong" "carolina"
## [13,] "delivery" "north" "equity" "sustainable" "experience"
## [14,] "engine" "partnerships" "fayetteville" "aspire" "levels"
## [15,] "enhanced" "pathways" "flexible" "broaden" "serve"
## Topic 6 Topic 7 Topic 8 Topic 9 Topic 10
## [1,] "exceptional" "community" "lives" "educational" "student"
## [2,] "partner" "create" "success" "economic" "quality"
## [3,] "county" "power" "centered" "workforce" "service"
## [4,] "excellent" "world" "global" "communities" "transform"
## [5,] "innovation" "age" "national" "adult" "career"
## [6,] "technical" "based" "social" "affordability" "focused"
## [7,] "academic" "benchmark" NA "aspires" "industry"
## [8,] "equitable" "broad" "building" "belonging" "instruction"
## [9,] "recognized" "continuing" "business" "broader" "knowledge"
## [10,] "transfer" "current" "change" "distinguished" "piedmont"
## [11,] "careers" "customer" "enrichment" "driving" "roanoke"
## [12,] "changing" "dreams" "programs" "elevating" "achieve"
## [13,] "class" "forsyth" "public" "grow" "advancing"
## [14,] "continue" "future" "staff" "integrity" "coastal"
## [15,] "exemplary" "hope" "administrative" "johnston" "craven"## # A tibble: 3,220 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 academic 7.50e-129
## 2 2 academic 7.96e-129
## 3 3 academic 9.41e-150
## 4 4 academic 5.07e-129
## 5 5 academic 7.50e-129
## 6 6 academic 4.05e- 2
## 7 7 academic 5.97e-129
## 8 8 academic 1.01e-149
## 9 9 academic 7.08e-129
## 10 10 academic 7.76e-150
## # ℹ 3,210 more rows
## # A tibble: 3,210 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 academic 5.89e-220
## 2 2 academic 1.81e-220
## 3 3 academic 1.22e-220
## 4 4 academic 2.39e-220
## 5 5 academic 2.39e-220
## 6 6 academic 2.39e-220
## 7 7 academic 3.37e- 2
## 8 8 academic 1.81e-220
## 9 9 academic 2.39e-220
## 10 10 academic 1.98e-195
## # ℹ 3,200 more rows## # A tibble: 3,210 × 3
## document topic gamma
## <chr> <int> <dbl>
## 1 academic 1 0.00536
## 2 access 1 0.00237
## 3 accessibility 1 0.0145
## 4 accessible 1 0.00140
## 5 accomplished 1 0.0145
## 6 achieve 1 0.00783
## 7 actively 1 0.0145
## 8 advances 1 0.00783
## 9 affordable 1 0.00167
## 10 agencies 1 0.0145
## # ℹ 3,200 more rows## Warning: `cols` is now required when using `unnest()`.
## ℹ Please use `cols = c(terms)`.## [1] "topic" "gamma" "term" "beta"| Topic | Expected topic proportion | Top 7 terms |
|---|---|---|
| Topic 3 | 0.164 | cultural |
| Topic 3 | 0.164 | services |
| Topic 3 | 0.164 | colleges |
| Topic 3 | 0.164 | residents |
| Topic 3 | 0.164 | successful |
| Topic 2 | 0.159 | provide |
| Topic 2 | 0.159 | innovative |
| Topic 2 | 0.159 | training |
| Topic 2 | 0.159 | developing |
| Topic 2 | 0.159 | enhance |
| Topic 4 | 0.135 | education |
| Topic 4 | 0.135 | opportunities |
| Topic 4 | 0.135 | transforming |
| Topic 4 | 0.135 | diverse |
| Topic 4 | 0.135 | institution |
| Topic 5 | 0.124 | development |
| Topic 5 | 0.124 | catalyst |
| Topic 5 | 0.124 | experiences |
| Topic 5 | 0.124 | region |
| Topic 5 | 0.124 | empowering |
| Topic 8 | 0.121 | success |
| Topic 8 | 0.121 | centered |
| Topic 8 | 0.121 | global |
| Topic 8 | 0.121 | national |
| Topic 8 | 0.121 | social |
| Topic 9 | 0.116 | educational |
| Topic 9 | 0.116 | economic |
| Topic 9 | 0.116 | workforce |
| Topic 9 | 0.116 | communities |
| Topic 9 | 0.116 | adult |
| Topic 7 | 0.063 | create |
| Topic 7 | 0.063 | power |
| Topic 7 | 0.063 | world |
| Topic 7 | 0.063 | age |
| Topic 7 | 0.063 | based |
| Topic 1 | 0.057 | learning |
| Topic 1 | 0.057 | excellence |
| Topic 1 | 0.057 | leader |
| Topic 1 | 0.057 | providing |
| Topic 1 | 0.057 | vision |
| Topic 10 | 0.042 | quality |
| Topic 10 | 0.042 | service |
| Topic 10 | 0.042 | transform |
| Topic 10 | 0.042 | career |
| Topic 10 | 0.042 | focused |
| Topic 6 | 0.020 | exceptional |
| Topic 6 | 0.020 | partner |
| Topic 6 | 0.020 | excellent |
| Topic 6 | 0.020 | innovation |
| Topic 6 | 0.020 | technical |
## Warning in geom_text(aes(label = top_term), vjust = 0.5, hjust = -0.75, :
## Ignoring unknown parameters: `fill` and `box.padding`
Summary of Question 2
Looking at the key terms in the vision statements from the 58 NC Community Colleges, it is clear that culture, education, success, and learning are critical terms within the construction of these vision statements. Using these terms to create a vision statement for a community college, a simple statement of the vision of a community college could be “To create an exceptional learning environment that fosters success and educational development.”
The purpose of a vision statement is to inspire students, faculty, and other stakeholders to believe in the mission of the institution. According to the University of Hawaii a good vision statement has the following characteristics:
… is succinct, which makes it easy for managers and leaders to communicate and employees to remember.
… should unite the organization and provide a stable, transcendent goal.
… sets an abstract yet challenging goal.
… should state a general idea of why the organization exists but should avoid including overly general statements such as to “develop new markets” or “to be the best”.
… are long-term, describing the organization’s desired end-state well into the future. A good vision statement inspires followers by setting a desirable goal. (University of Hawaii
Analysis of Question 3
What are the common themes presented in the disability statements across the 58 NCCCS institutions?
To answer this question, the information from disability statements presented on the websites of the 58 NCCCS institutions was analyzed.
Note: The text processing and visualization process for Question 3 is similar to the text processing used for Question 1. This process is explained in detail above.
## # A tibble: 6 × 2
## word lexicon
## <chr> <chr>
## 1 a SMART
## 2 a's SMART
## 3 able SMART
## 4 about SMART
## 5 above SMART
## 6 according SMART## Joining with `by = join_by(word)`## # A tibble: 25 × 2
## word n
## <chr> <int>
## 1 students 91
## 2 services 88
## 3 disabilities 83
## 4 disability 73
## 5 college 62
## 6 accommodations 60
## 7 act 60
## 8 student 39
## 9 community 38
## 10 access 37
## # ℹ 15 more rows## <<DocumentTermMatrix (documents: 618, terms: 618)>>
## Non-/sparse entries: 618/381306
## Sparsity : 100%
## Maximal term length: NA
## Weighting : term frequency (tf)## Warning in tm_map.SimpleCorpus(corpus, content_transformer(tolower)):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removePunctuation): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeNumbers): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, stopwords("en")):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, c("community college", :
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, stripWhitespace): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, stemDocument): transformation drops
## documents## List of 3
## $ documents: num [1:54, 1:555] 1 0 0 0 1 0 0 0 1 2 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ Docs : chr [1:54] "1" "2" "3" "4" ...
## .. ..$ Terms: chr [1:555] "academ" "access" "accommod" "activ" ...
## $ data : tibble [54 × 8] (S3: tbl_df/tbl/data.frame)
## ..$ Institution : chr [1:54] "Johnston CC" "Cape Fear CC" "Mitchell CC" "Rowan-Cabarrus CC" ...
## ..$ Enrollment : num [1:54] NA NA NA NA NA NA NA NA NA NA ...
## ..$ Diversity Office : chr [1:54] NA NA NA NA ...
## ..$ Disability_Services: chr [1:54] "The Accessibility Services Office provides academic accommodations to support students with disabilities and ad"| __truncated__ "Cape Fear Community College will be responsible for ensuring that students with disabilities have equal, effect"| __truncated__ NA "The Office of Accessibility at Rowan-Cabarrus is offered to assist students with disabilities in achieving thei"| __truncated__ ...
## ..$ Mission_Statement : chr [1:54] "Johnston Community College provides accessible, equitable, high-quality educational and community enrichment op"| __truncated__ "The mission of Cape Fear Community College is to provide high-quality, dynamic, innovative, educational, cultur"| __truncated__ "Mitchell Community College provides equitable access to affordable, high-quality learning experiences and servi"| __truncated__ "Rowan-Cabarrus Community College improves lives and builds community through public higher education and workfo"| __truncated__ ...
## ..$ Vision_Statement : chr [1:54] "Johnston Community College will be the recognized leader in North Carolina for academic success and workforce d"| __truncated__ "Cape Fear Community College: A world-class college serving diverse communities, promoting excellence through in"| __truncated__ "Mitchell Community College aspires to be a catalyst that nurtures intellect, ignites creativity, fosters innova"| __truncated__ "Building sustainable futures through the power of learning." ...
## ..$ EEO Statement : chr [1:54] NA "Cape Fear Community College (the “College”) is committed to equality in employment and does not discriminate ag"| __truncated__ NA NA ...
## ..$ Diversity_Statement: chr [1:54] "1. Provide and support personal and cultural enrichment, outreach, and community-based programs, activities, an"| __truncated__ "At Cape Fear Community College, we work to create a welcoming and productive atmosphere for academic and person"| __truncated__ "At Mitchell Community College, we believe an inclusive culture puts diversity into action by producing a climat"| __truncated__ "At Rowan-Cabarrus Community College, we believe fostering a sense of belonging is essential for our students, f"| __truncated__ ...
## $ vocab : chr [1:555] "academ" "access" "accommod" "activ" ...## Building corpus...
## Converting to Lower Case...
## Removing punctuation...
## Removing stopwords...
## Removing numbers...
## Stemming...
## Creating Output...Modeling Question 3
## [1] 52## A LDA_VEM topic model with 10 topics.## A topic model with 20 topics, 51 documents and a 547 word dictionary.
## Topic 1 Topic 2 Topic 3 Topic 4
## [1,] "reasonable" "rehabilitation" "act" "college"
## [2,] "provide" "1973" "americans" "accommodations"
## [3,] "individual" "activities" "academic" "section"
## [4,] "accommodation" "request" "qualified" "individuals"
## [5,] "discrimination" "responsibility" "ensure" "accessible"
## [6,] "success" "facilities" "compliance" "american"
## [7,] "contact" "person" "education" "technical"
## [8,] "counseling" "tech" "faculty" "adapt"
## [9,] "denied" "subjected" "serves" "aware"
## [10,] "resources" "aids" "student’s" "class"
## [11,] "serve" "campus" "enrolled" "contained"
## [12,] "including" "development" "planning" "diploma"
## [13,] "major" "effort" "323" "employees"
## [14,] "participate" "entity" "administrators" "equipment"
## [15,] "public" "psychological" "appropriately" "equity"
## Topic 5 Topic 6 Topic 7 Topic 8
## [1,] "student" "documented" "services" "students"
## [2,] "community" "goals" "disability" "disabilities"
## [3,] "programs" "program" "equal" "financial"
## [4,] "504" "impairment" "learning" "4"
## [5,] "opportunities" "information" "1990" "addresses"
## [6,] "quality" "mission" "accommodation" "affect"
## [7,] "persons" "opportunity" "disabled" "commitment"
## [8,] "ensuring" "related" "discrimination" "communities"
## [9,] "substantially" "staff" "documented" "connection"
## [10,] "achieve" "benefits" "facilities" "division"
## [11,] "adjustments" "conditions" "goals" "due"
## [12,] "alter" "coordinator" "individual" "enroll"
## [13,] "current" "environment" "opportunities" "hcc"
## [14,] "decision" "accordance" "participation" "level"
## [15,] "facilitates" "assist" "physical" "local"
## Topic 9 Topic 10
## [1,] "access" "support"
## [2,] "accessibility" "committed"
## [3,] "educational" "office"
## [4,] "provided" "providing"
## [5,] "documentation" "ada"
## [6,] "disabled" "1990"
## [7,] "participation" "physical"
## [8,] "federal" "disclose"
## [9,] "dedicated" "life"
## [10,] "hearing" "mental"
## [11,] "rights" "basis"
## [12,] "admission" "comprehensive"
## [13,] "confidential" "excluded"
## [14,] "meet" "civil"
## [15,] "achieving" "das"## # A tibble: 6,180 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 1973 9.24e-70
## 2 2 1973 7.45e- 2
## 3 3 1973 1.08e-69
## 4 4 1973 1.13e-69
## 5 5 1973 9.47e-70
## 6 6 1973 9.02e-70
## 7 7 1973 1.07e-69
## 8 8 1973 1.17e-69
## 9 9 1973 1.04e-69
## 10 10 1973 8.74e-70
## # ℹ 6,170 more rows
## # A tibble: 6,180 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 1973 9.24e-70
## 2 2 1973 7.45e- 2
## 3 3 1973 1.08e-69
## 4 4 1973 1.13e-69
## 5 5 1973 9.47e-70
## 6 6 1973 9.02e-70
## 7 7 1973 1.07e-69
## 8 8 1973 1.17e-69
## 9 9 1973 1.04e-69
## 10 10 1973 8.74e-70
## # ℹ 6,170 more rows## # A tibble: 6,180 × 3
## document topic gamma
## <chr> <int> <dbl>
## 1 1973 1 0.000927
## 2 1974 1 0.0151
## 3 1990 1 0.00146
## 4 2008 1 0.00560
## 5 323 1 0.0151
## 6 35.130 1 0.0151
## 7 4 1 0.0151
## 8 504 1 0.000802
## 9 504of 1 0.0151
## 10 508 1 0.0151
## # ℹ 6,170 more rows## Warning: `cols` is now required when using `unnest()`.
## ℹ Please use `cols = c(terms)`.## [1] "topic" "gamma" "term" "beta"| Topic | Expected topic proportion | Top 7 terms |
|---|---|---|
| Topic 2 | 0.170 | rehabilitation |
| Topic 2 | 0.170 | activities |
| Topic 2 | 0.170 | request |
| Topic 2 | 0.170 | responsibility |
| Topic 2 | 0.170 | facilities |
| Topic 10 | 0.152 | support |
| Topic 10 | 0.152 | committed |
| Topic 10 | 0.152 | office |
| Topic 10 | 0.152 | providing |
| Topic 10 | 0.152 | ada |
| Topic 6 | 0.151 | documented |
| Topic 6 | 0.151 | goals |
| Topic 6 | 0.151 | program |
| Topic 6 | 0.151 | impairment |
| Topic 6 | 0.151 | information |
| Topic 1 | 0.134 | reasonable |
| Topic 1 | 0.134 | provide |
| Topic 1 | 0.134 | individual |
| Topic 1 | 0.134 | accommodation |
| Topic 1 | 0.134 | discrimination |
| Topic 5 | 0.128 | student |
| Topic 5 | 0.128 | programs |
| Topic 5 | 0.128 | 504 |
| Topic 5 | 0.128 | opportunities |
| Topic 5 | 0.128 | quality |
| Topic 9 | 0.093 | access |
| Topic 9 | 0.093 | accessibility |
| Topic 9 | 0.093 | educational |
| Topic 9 | 0.093 | provided |
| Topic 9 | 0.093 | documentation |
| Topic 3 | 0.068 | americans |
| Topic 3 | 0.068 | academic |
| Topic 3 | 0.068 | qualified |
| Topic 3 | 0.068 | ensure |
| Topic 3 | 0.068 | compliance |
| Topic 4 | 0.049 | accommodations |
| Topic 4 | 0.049 | individuals |
| Topic 4 | 0.049 | accessible |
| Topic 4 | 0.049 | american |
| Topic 4 | 0.049 | technical |
| Topic 8 | 0.038 | students |
| Topic 8 | 0.038 | disabilities |
| Topic 8 | 0.038 | financial |
| Topic 8 | 0.038 | addresses |
| Topic 8 | 0.038 | commitment |
| Topic 7 | 0.017 | services |
| Topic 7 | 0.017 | disability |
| Topic 7 | 0.017 | equal |
| Topic 7 | 0.017 | learning |
| Topic 7 | 0.017 | accommodation |
## Warning in geom_text(aes(label = top_term), vjust = 0.5, hjust = -0.75, :
## Ignoring unknown parameters: `fill` and `box.padding`
Summary of Question 3
Looking at the key terms in the Disability Services statements from the 58 NC Community Colleges, it is clear that it is important for students who require accomodations in the college setting have a documented need for support, rehabilitation, and accommodations. Many of the institutional websites for disability services clearly place the onus on the student to seek and request services. Nearly every institution relied heavily on the legal requirement to provide services for students who require those services. Therefore, much of the language leaned on the definitions of reasonable accommodations and providing documentation of the need for services. A review of the websites made it clear that students with disabilities could have access as long as they requested it and provided proof of need.
Analysis of Question 4
What are the common themes presented in the diversity statements across the 58 NCCCS institutions?
When it comes to diversity statements at the NC Community Colleges, there is significant disparity. Only 62% of the institutions mention diversity or equity at all on their websites. In some cases, the information on the institution’s diversity work is behind a password protected website which isn’t accessible to the public.
Note: The text processing and visualization process for Question 4 is similar to the text processing used for Question 1. This process is explained in detail above.
## # A tibble: 6 × 2
## word lexicon
## <chr> <chr>
## 1 a SMART
## 2 a's SMART
## 3 able SMART
## 4 about SMART
## 5 above SMART
## 6 according SMART## Joining with `by = join_by(word)`## # A tibble: 25 × 2
## word n
## <chr> <int>
## 1 community 33
## 2 diversity 29
## 3 college 27
## 4 students 25
## 5 equity 19
## 6 <NA> 19
## 7 inclusion 11
## 8 respect 11
## 9 access 10
## 10 committed 10
## # ℹ 15 more rows## <<DocumentTermMatrix (documents: 472, terms: 472)>>
## Non-/sparse entries: 472/222312
## Sparsity : 100%
## Maximal term length: NA
## Weighting : term frequency (tf)## Warning in tm_map.SimpleCorpus(corpus, content_transformer(tolower)):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removePunctuation): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeNumbers): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, stopwords("en")):
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, removeWords, c("staff", "college", :
## transformation drops documents## Warning in tm_map.SimpleCorpus(corpus, stripWhitespace): transformation drops
## documents## Warning in tm_map.SimpleCorpus(corpus, stemDocument): transformation drops
## documents## List of 3
## $ documents: num [1:54, 1:412] 1 0 0 0 0 0 0 0 0 0 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ Docs : chr [1:54] "1" "2" "3" "4" ...
## .. ..$ Terms: chr [1:412] "activ" "communitybas" "cultur" "divers" ...
## $ data : tibble [54 × 8] (S3: tbl_df/tbl/data.frame)
## ..$ Institution : chr [1:54] "Johnston CC" "Cape Fear CC" "Mitchell CC" "Rowan-Cabarrus CC" ...
## ..$ Enrollment : num [1:54] NA NA NA NA NA NA NA NA NA NA ...
## ..$ Diversity Office : chr [1:54] NA NA NA NA ...
## ..$ Disability_Services: chr [1:54] "The Accessibility Services Office provides academic accommodations to support students with disabilities and ad"| __truncated__ "Cape Fear Community College will be responsible for ensuring that students with disabilities have equal, effect"| __truncated__ NA "The Office of Accessibility at Rowan-Cabarrus is offered to assist students with disabilities in achieving thei"| __truncated__ ...
## ..$ Mission_Statement : chr [1:54] "Johnston Community College provides accessible, equitable, high-quality educational and community enrichment op"| __truncated__ "The mission of Cape Fear Community College is to provide high-quality, dynamic, innovative, educational, cultur"| __truncated__ "Mitchell Community College provides equitable access to affordable, high-quality learning experiences and servi"| __truncated__ "Rowan-Cabarrus Community College improves lives and builds community through public higher education and workfo"| __truncated__ ...
## ..$ Vision_Statement : chr [1:54] "Johnston Community College will be the recognized leader in North Carolina for academic success and workforce d"| __truncated__ "Cape Fear Community College: A world-class college serving diverse communities, promoting excellence through in"| __truncated__ "Mitchell Community College aspires to be a catalyst that nurtures intellect, ignites creativity, fosters innova"| __truncated__ "Building sustainable futures through the power of learning." ...
## ..$ EEO Statement : chr [1:54] NA "Cape Fear Community College (the “College”) is committed to equality in employment and does not discriminate ag"| __truncated__ NA NA ...
## ..$ Diversity_Statement: chr [1:54] "1. Provide and support personal and cultural enrichment, outreach, and community-based programs, activities, an"| __truncated__ "At Cape Fear Community College, we work to create a welcoming and productive atmosphere for academic and person"| __truncated__ "At Mitchell Community College, we believe an inclusive culture puts diversity into action by producing a climat"| __truncated__ "At Rowan-Cabarrus Community College, we believe fostering a sense of belonging is essential for our students, f"| __truncated__ ...
## $ vocab : chr [1:412] "activ" "communitybas" "cultur" "divers" ...## Building corpus...
## Converting to Lower Case...
## Removing punctuation...
## Removing stopwords...
## Removing numbers...
## Stemming...
## Creating Output...Modeling Question 4
## [1] 36## A LDA_VEM topic model with 10 topics.## A topic model with 20 topics, 35 documents and a 406 word dictionary.
## Topic 1 Topic 2 Topic 3 Topic 4
## [1,] "community" "access" "equity" "inclusion"
## [2,] "backgrounds" "diverse" "practices" "environment"
## [3,] "action" "belonging" "barriers" "gender"
## [4,] "inclusivity" "people" "orientation" "religion"
## [5,] "mission" "provide" "employees" "status"
## [6,] "persons" "providing" "equitable" "activities"
## [7,] "tech" "student" "systems" "identity"
## [8,] "academic" "valued" "accommodations" "sexual"
## [9,] "based" "age" "including" "creating"
## [10,] "committee" "perspectives" "leading" "origin"
## [11,] "encouraged" "succeed" "commits" "board"
## [12,] "enrich" "council" "experience" "dimensions"
## [13,] "honor" "embrace" "individuals" "essential"
## [14,] "office" "encompasses" "lead" "medical"
## [15,] "underrepresented" "institution" "nurtures" "minded"
## [16,] "valley" "sense" "pregnancy" "participation"
## [17,] "2008" "celebrate" "actively" "personal"
## [18,] "accepted" "curriculum" "administrators" "practice"
## [19,] "accomplish" "feel" "affiliation" "unique"
## [20,] "acknowledges" "information" "amended" "acceptance"
## Topic 5 Topic 6 Topic 7 Topic 8
## [1,] "college" "staff" "diversity" "differences"
## [2,] "faculty" "understanding" "learning" "inclusive"
## [3,] "educational" "support" "engagement" "individual"
## [4,] "administration" "campus" "ensure" "life"
## [5,] "strive" "culture" "services" "opportunities"
## [6,] "national" "experiences" "social" "communities"
## [7,] "beliefs" "policies" "feels" "socioeconomic"
## [8,] "commit" "dei" "team" "success"
## [9,] "decisions" "dignity" "discrimination" "achieve"
## [10,] "equal" "mutual" "ideas" "cultures"
## [11,] "reflect" "abilities" "section" "expression"
## [12,] "serve" "catawba" "strategic" "ability"
## [13,] "valuing" "county" "welcoming" "adds"
## [14,] "1" "development" "achievement" "cultivate"
## [15,] "1973" "eic" "alternative" "deii"
## [16,] "advance" "embraces" "americans" "disabilities"
## [17,] "amazing" "matters" "arrangements" "durham"
## [18,] "attain" "priority" "aspects" "fosters"
## [19,] "believes" "rich" "assistance" "montgomery"
## [20,] "choice" "service" "behaviors" "professional"
## Topic 9 Topic 10
## [1,] NA "students"
## [2,] "respect" "cultural"
## [3,] "committed" "opportunity"
## [4,] "programs" "recognize"
## [5,] "race" "resources"
## [6,] "disability" "dismantling"
## [7,] "fostering" "goals"
## [8,] "color" "build"
## [9,] "safe" "characterized"
## [10,] "act" "create"
## [11,] "enhance" "dedicated"
## [12,] "sex" "learn"
## [13,] "actions" "local"
## [14,] "advises" "person"
## [15,] "advocate" "planning"
## [16,] "ages" "promise"
## [17,] "aids" "reflection"
## [18,] "appreciating" "504"
## [19,] "assistive" "accountability"
## [20,] "attracts" "active"## # A tibble: 4,720 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 1 1.40e-281
## 2 2 1 9.58e-281
## 3 3 1 1.56e-281
## 4 4 1 1.40e-281
## 5 5 1 9.52e- 3
## 6 6 1 4.49e-281
## 7 7 1 1.56e-281
## 8 8 1 2.78e-281
## 9 9 1 1.01e-281
## 10 10 1 1.75e-281
## # ℹ 4,710 more rows
## # A tibble: 4,720 × 3
## topic term beta
## <int> <chr> <dbl>
## 1 1 1 1.40e-281
## 2 2 1 9.58e-281
## 3 3 1 1.56e-281
## 4 4 1 1.40e-281
## 5 5 1 9.52e- 3
## 6 6 1 4.49e-281
## 7 7 1 1.56e-281
## 8 8 1 2.78e-281
## 9 9 1 1.01e-281
## 10 10 1 1.75e-281
## # ℹ 4,710 more rows## # A tibble: 4,720 × 3
## document topic gamma
## <chr> <int> <dbl>
## 1 1 1 0.0170
## 2 1973 1 0.0170
## 3 2008 1 0.847
## 4 504 1 0.0170
## 5 abilities 1 0.00930
## 6 ability 1 0.00930
## 7 academic 1 0.916
## 8 acceptance 1 0.0170
## 9 accepted 1 0.847
## 10 access 1 0.00201
## # ℹ 4,710 more rows## Warning: `cols` is now required when using `unnest()`.
## ℹ Please use `cols = c(terms)`.## [1] "topic" "gamma" "term" "beta"| Topic | Expected topic proportion | Top 7 terms |
|---|---|---|
| Topic 7 | 0.111 | diversity |
| Topic 7 | 0.111 | learning |
| Topic 7 | 0.111 | engagement |
| Topic 7 | 0.111 | ensure |
| Topic 7 | 0.111 | services |
| Topic 1 | 0.110 | backgrounds |
| Topic 1 | 0.110 | action |
| Topic 1 | 0.110 | inclusivity |
| Topic 1 | 0.110 | mission |
| Topic 1 | 0.110 | persons |
| Topic 9 | 0.108 | NA |
| Topic 9 | 0.108 | respect |
| Topic 9 | 0.108 | committed |
| Topic 9 | 0.108 | programs |
| Topic 9 | 0.108 | race |
| Topic 3 | 0.107 | equity |
| Topic 3 | 0.107 | practices |
| Topic 3 | 0.107 | barriers |
| Topic 3 | 0.107 | orientation |
| Topic 3 | 0.107 | employees |
| Topic 10 | 0.106 | students |
| Topic 10 | 0.106 | cultural |
| Topic 10 | 0.106 | opportunity |
| Topic 10 | 0.106 | recognize |
| Topic 10 | 0.106 | resources |
| Topic 4 | 0.105 | inclusion |
| Topic 4 | 0.105 | environment |
| Topic 4 | 0.105 | gender |
| Topic 4 | 0.105 | religion |
| Topic 4 | 0.105 | status |
| Topic 5 | 0.102 | faculty |
| Topic 5 | 0.102 | educational |
| Topic 5 | 0.102 | administration |
| Topic 5 | 0.102 | strive |
| Topic 5 | 0.102 | national |
| Topic 8 | 0.100 | differences |
| Topic 8 | 0.100 | inclusive |
| Topic 8 | 0.100 | individual |
| Topic 8 | 0.100 | opportunities |
| Topic 8 | 0.100 | communities |
| Topic 6 | 0.082 | understanding |
| Topic 6 | 0.082 | support |
| Topic 6 | 0.082 | campus |
| Topic 6 | 0.082 | culture |
| Topic 6 | 0.082 | experiences |
| Topic 2 | 0.069 | access |
| Topic 2 | 0.069 | diverse |
| Topic 2 | 0.069 | belonging |
| Topic 2 | 0.069 | people |
| Topic 2 | 0.069 | provide |
## Warning in geom_text(aes(label = top_term), vjust = 0.5, hjust = -0.75, :
## Ignoring unknown parameters: `fill` and `box.padding`## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_text()`).
Summary of Question 4
In 2020 a radical conversation about race and equity erupted across the nation in response to the murder of George Floyd. In response to that tragedy, many universities posted statements of support and worked diligently to revamp and revive their diversity efforts. At the time, a review of the statements of support posted by institutions of higher education in North Carolina revealed that less than 50% of the community colleges in the system posted anything supporting diversity, equity or inclusion. Today, that number is higher, but there is increased rhetoric surrounding DEI efforts in higher education across the nation with some states, such as Texas and Florida, outright banning DEI efforts at state institutions.
A review of the diversity statements at the 58 NC community colleges reveals that respect, equity, and inclusion are central features of such statements. Interestingly, students and faculty are included in these statements as stakeholders in the process of ensuring that inclusion, understanding, and equity are part of the campus culture.
Analysis of Question 5
How does diversity, disability, and access intersect with the mission statements of the 58 NCCCS institutions?
The code below accomplishes the following tasks:
Combines multiple text fields from the mission dataframe into a single character vector and pre-processes the text, constructs a DTM, calculates word frequency and identifies the top 25 words then creates a visualization of the top 25 most frequent words then generates a visualization as a word cloud of those top words. Overall, this code provides a visual representation of the most frequent words in the combined text data.
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)## Loading required package: RColorBrewer
Summary of Question 5
By combining each of the statements available on institutional websites into a single corpus, it was possible to ascertain the top 25 words within each of the four statements - Vision Statements, Mission Statements, Diversity Statements, and Disability Statements. Within this sampling, key concepts associated with student success were evident. These terms - development, education, support, quality, services, education(al), and access stood out as key indicators that community colleges focus on supporting students throughout their educational journey. However, it is important to understand that this messaging along with the associated lofty goals of educating future generations for successful integration into the workforce and communities while impacting economic growth do not always mean that each student experiences success.
Conclusion
The disconnect between what institutions say and what institutions actually accomplish is significant as evidenced by Lake and Mrozinski’s (2011) study that found that “mission statements have risen to the level of mythology in what they can [actually] do.” Despite these high-browsed statements, there is little evidence that there is a correlation between mission statements and performance.