What Do Men Think It Means To Be A Man?

Overview

The article was essentially about mens idea about masculinity, and its subsequent role in society. A survey was given in light of the 2018 #MeToo movement, which is/was a movement where folks came out about their abuses primarily from men. The goal of this survey was to attempt to quantify if the #MeToo movement had any effect on how men feel. Did it change their ideas of what makes a man a man, or had it fallen on deaf ears.

The article is linked here:
What Do Men Think It Means To Be A Man?.

library(readr)
library(dplyr)
menSurvey <- read_csv("https://raw.githubusercontent.com/justinm0rgan/data607/main/Assignments/1/data/raw-responses.csv?token=GHSAT0AAAAAABPMFD5D66OXX2IVUENVMOPKYP6TDXA", show_col_types = F,col_select = 2:98)
head(menSurvey)
# A tibble: 6 × 97
  StartDate    EndDate   q0001 q0002 q0004_0001 q0004_0002 q0004_0003 q0004_0004
  <chr>        <chr>     <chr> <chr> <chr>      <chr>      <chr>      <chr>     
1 5/10/18 4:01 5/10/18 … Some… Some… Not selec… Not selec… Not selec… Pop cultu…
2 5/10/18 6:30 5/10/18 … Some… Some… Father or… Not selec… Not selec… Not selec…
3 5/10/18 7:02 5/10/18 … Very… Not … Father or… Not selec… Not selec… Not selec…
4 5/10/18 7:27 5/10/18 … Very… Not … Father or… Mother or… Other fam… Not selec…
5 5/10/18 7:35 5/10/18 … Very… Very… Not selec… Not selec… Other fam… Not selec…
6 5/10/18 8:25 5/10/18 … Very… Some… Father or… Not selec… Not selec… Not selec…
# … with 89 more variables: q0004_0005 <chr>, q0004_0006 <chr>, q0005 <chr>,
#   q0007_0001 <chr>, q0007_0002 <chr>, q0007_0003 <chr>, q0007_0004 <chr>,
#   q0007_0005 <chr>, q0007_0006 <chr>, q0007_0007 <chr>, q0007_0008 <chr>,
#   q0007_0009 <chr>, q0007_0010 <chr>, q0007_0011 <chr>, q0008_0001 <chr>,
#   q0008_0002 <chr>, q0008_0003 <chr>, q0008_0004 <chr>, q0008_0005 <chr>,
#   q0008_0006 <chr>, q0008_0007 <chr>, q0008_0008 <chr>, q0008_0009 <chr>,
#   q0008_0010 <chr>, q0008_0011 <chr>, q0008_0012 <chr>, q0009 <chr>, …

Data Transformations

  • Columns for StartDate and EndDate were kept as record indicators
  • Question 5:
    Do you think that society puts pressure on men in a way that is unhealthy or bad for them?
    Yes/No answers, were changed to 1, 0 or NA and datatype was altered to numeric to enable summing.
  • Columns with Not Selected or No answer where changed to NA.
  • Most demographic columns were kept and given more descriptive names.
  • A subset of what I felt the most interesting questions where kept.

All of this is outlined in the tables below

Demographic info

Demographic Column Name New Column Name
Race race2 Race
Ethnicity racethn4 Ethnicity
Age age3 Age
Sexual Orientation orientation Sexual_Orientation
Education educ4 Education

Subset of questions

Question Column Name New Column Name
In general, how masculine or “manly” do you feel? q0001 Question_1
How important is it to you that others see you as masculine? q0002 Question_2
Do you think that society puts pressure on men in a way that is unhealthy or bad
for them?
q0005 Question_5
How often would you say you do each of the following? Cry q0007_0004 Question_7_4
How often would you say you do each of the following? Watch sports of any kind q0007_0008 Question_7_8
How often would you say you do each of the following? See a therapist q0007_0010 Question_7_10
How often would you say you do each of the following? Feel lonely or isolated q0007_0011 Question_7_11
Which of the following do you worry about on a daily or near daily basis? (Select
all that apply.) Your mental health
q0008_0008 Question_8_8
Which of the following do you worry about on a daily or near daily basis? (Select
all that apply.) Your physical health
q0008_0009 Question_8_9
# subset and rename columns
menSurveySubset <- menSurvey %>% select(StartDate, EndDate, Age=age3, Race=race2, Ethnicity=racethn4, Education=educ4, Sexual_Orientation=orientation, Question_1=q0001, Question_2=q0002, Question_5=q0005, Question_7_4=q0007_0004, Question_7_8=q0007_0008,  Question_7_10=q0007_0010, Question_7_11=q0007_0011, Question_8_8=q0008_0008, Question_8_9=q0008_0009)

head(menSurveySubset)
# A tibble: 6 × 16
  StartDate  EndDate Age   Race  Ethnicity Education Sexual_Orientat… Question_1
  <chr>      <chr>   <chr> <chr> <chr>     <chr>     <chr>            <chr>     
1 5/10/18 4… 5/10/1… 35 -… Non-… Hispanic  College … Gay/Bisexual     Somewhat …
2 5/10/18 6… 5/10/1… 65 a… White White     Some col… Straight         Somewhat …
3 5/10/18 7… 5/10/1… 35 -… White White     College … Straight         Very masc…
4 5/10/18 7… 5/10/1… 65 a… White White     Some col… No answer        Very masc…
5 5/10/18 7… 5/10/1… 35 -… White White     College … Straight         Very masc…
6 5/10/18 8… 5/10/1… 65 a… White White     Post gra… Straight         Very masc…
# … with 8 more variables: Question_2 <chr>, Question_5 <chr>,
#   Question_7_4 <chr>, Question_7_8 <chr>, Question_7_10 <chr>,
#   Question_7_11 <chr>, Question_8_8 <chr>, Question_8_9 <chr>
# change Yes/No/No Answer to 1/0 or NA
menSurveySubset$Question_5[menSurveySubset$Question_5=="Yes"] <- 1
menSurveySubset$Question_5[menSurveySubset$Question_5=="No"] <- 0
menSurveySubset$Question_5[menSurveySubset$Question_5=="No answer"] <- NA
# Convert Question 5 to numeric
menSurveySubset$Question_5 <- as.numeric(menSurveySubset$Question_5)
# change any 'Not Selected' values within df to NA
menSurveySubset[(menSurveySubset == "Not selected") | (menSurveySubset == "No answer")] <- NA
# view results of transformations
head(menSurveySubset[,c("Sexual_Orientation", "Question_5", "Question_8_8")])
# A tibble: 6 × 3
  Sexual_Orientation Question_5 Question_8_8      
  <chr>                   <dbl> <chr>             
1 Gay/Bisexual                1 <NA>              
2 Straight                    1 Your mental health
3 Straight                    0 <NA>              
4 <NA>                        0 <NA>              
5 Straight                    1 <NA>              
6 Straight                    1 <NA>              

Conclusion

The article concludes suggesting that American men are still fractured about their role in society, and that despite a years worth of the #MeToo headline, it does not mean the majority of men have altered their views on masculinity. For next steps, I think an update to this survey (its from 2018) would be appropriate. The #MeToo movement has continued to remain in the limelight, and if administered again, we would perhaps see significantly different survey results.