College Major Analysis


Jason Dullaghan & Lucia Belasco 1
,

1 University of Massachusetts Amherst

Introduction

Our research utilizes data from the General Social Survey (GSS) to investigate the underlying variables that impact students’ decisions regarding college major selection and their corresponding outcomes post-graduation. We intend to analyze what influences students to select particular majors and determine how major choice correlates with trajectories regarding career outcomes and satisfaction after college. This subject can shed light upon the factors which influence students educational and professional paths and highlight contrasts based on college major, sex, family income, hours worked in a week, satisfaction with financial situations, respondents income, change in financial situation, and place of birth. Through analysis of GSS data in combination with evaluative sources, we seek to uncover if major choice critically shapes students’ future prospects.

Background Literature.

According to the Journal of Education for Business, the primary determinant of major choice lies within the seemingly obvious answer: students’ interests. However, it was found that sex is the most prevailing influence in major choice; surpassing the impact of race and ethnicity. Male students were observed to be more heavily driven by potential career opportunities as opposed to female students who were more influenced by their aptitude in a particular field. This source highlighted an increased liklihood for female students to switch from STEM majors in comparison to men. In the Journal of Family and Economic Issues, gender disparity was also seen in how parental occupation and socioeconomic status influenced students’ decisions. This study finds that female students are more heavily influenced by the occupation of their fathers, while male students are more influenced by their mothers (when examining parents in professional occupations). It was also found that high socioeconomic status seemingly influences male students to major in business with the opposite being true for female students of similar socioeconomic status. The ANNALS of the American Academy of Political and Social Science found disparity of major choice to also be dependent on citizenship, with foreign students having a tendency to choose STEM majors in comparison to domestic students whose propensity to choose STEM majors was more heavily influenced by gender and race.The author also observed a ideological shift overtime among international students decreasingly opting for high return majors. 

In regards to career outcomes, the journal of Research in Higher Education suggests positive career outcomes associated with individuals who have an occupation closely related to their college major, such as a better income profile and greater job satisfaction. It was found that African Americans, Native Americans, and Hispanics has a higher likelihood of choosing non-major related career paths than their White and Asian counterparts. However, there is a higher rates of dissatisfaction associated with this choice. Additionally, minority groups were also found in lower wage-potential majors. College graduates who hold part time jobs were also found to be more likely to choose non-major related fields.

Data and methodology

For data sources, we used the GSS Data Explorer to get our information on college majors. Our Data set first contain 72k entries spanning from 2012 to 2022, but only 9.2k contained information on college majors once filtered and cleaned.

## Warning: package 'kableExtra' was built under R version 4.3.3
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## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
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##     group_rows
year id_ major1 sex race born income rincome satfin finalter ballot
2012 1 ENGLISH MALE White YES $25,000 or more .i: Inapplicable Pretty well satisfied Stayed same Ballot a
2012 5 POLITICAL SCIENCE/INTERNATIONAL RELATIONS FEMALE Black YES $25,000 or more .i: Inapplicable Not satisfied at all Worse Ballot b
2012 6 POLITICAL SCIENCE/INTERNATIONAL RELATIONS FEMALE White YES $25,000 or more .i: Inapplicable Not satisfied at all Stayed same Ballot a
2012 7 BUSINESS ADMINISTRATION FEMALE White YES $25,000 or more .i: Inapplicable More or less satisfied Stayed same Ballot b
2012 10 PUBLIC RELATIONS FEMALE White YES $25,000 or more $25000 OR MORE Not satisfied at all Stayed same Ballot c
2012 12 LIBERAL ARTS FEMALE Black YES $25,000 or more $6000 TO 6999 More or less satisfied Better Ballot b

All columns used were categorical except for year and id. A numerical column was later added to convert to income category to a numerical one so that further analysis could be done on income. The income column had a maximum values of 25k or greater, limiting the amount of pure analysis that could be done on this category, as many majors saw values close to 25k. Therefore, one way in which this variable can be looked at as well is in the lens of stable income or employment, as realistically a yearly income of 25k should only be seen if a person is working part time or is fully unemployed.

Results

Analysis on College Major and Income

First Let’s get a breakdown on the highest and lowest earning college majors based on the GSS dataseta.

Here are the majors with the 5 Highest Average Incomes with more than 75 entries

major1 Average_Income
ACCOUNTING/BOOKKEEPING 24193.40
EDUCATION 24386.67
ENGINEERING 24173.85
MARKETING 24326.67
NURSING 24150.30

Here are the majors with the 5 Lowest Average Incomes with more than 75 entries

major1 Average_Income
.Y: NOT AVAILABLE IN THIS YEAR 20938.80
ART 22529.41
ENGLISH 23372.83
HEALTH 23286.80
LIBERAL ARTS 22814.10

Now here is a plot of the top 5 majors over time.

Some interesting takeaways from this graph are marketing and engineering has seen a rise over the years of 2012 to 2022 in the average income, while some of the high earning majors have seen major fluctuations, such as marketing and nursing.

Analysis on College Major, Gender, Race, and Income

Now lets get a breakdown of these top and bottom college majors by Income (or stability) by race and gender. First by showing the breakdown of gender by the highest and lowest income majors.

## Selecting by Average_Income
major1 sex Count Total Percentage
ACCOUNTING/BOOKKEEPING FEMALE 135 1711 7.890123
ACCOUNTING/BOOKKEEPING MALE 93 1711 5.435418
EDUCATION FEMALE 512 1711 29.924021
EDUCATION MALE 142 1711 8.299240
ENGINEERING FEMALE 59 1711 3.448276
ENGINEERING MALE 319 1711 18.644068
MARKETING FEMALE 50 1711 2.922268
MARKETING MALE 33 1711 1.928697
NURSING FEMALE 334 1711 19.520748
NURSING MALE 34 1711 1.987142
## Selecting by Average_Income

## Saving 7 x 5 in image

As shown in the chart above, women actually take up the majority of most of the majors, except for engineering.

## Saving 7 x 5 in image

As shown in the chart above, women take up the majority of percentage of all of the lowest earning the majors.

## Selecting by Average_Income

We can see that white people take up the majority percentage in all of highest earning major.

White people also seem to take up the majority of space in lowest earning majors as well.

Financial Satisfaction

From these two charts, we can see that people in higher earning majors seem to have higher satisfaction with their financial situation than those in lower earning ones.

Discussion

Our data results show somewhat of a gender disparity among major choices. Using GSS data, we’re able to conclude that female students generally populate both high and low wage majors; with the exception of engineering. There is a clear distinction between sex in social sciences, with less disparity in medicine and education. However, engineering continues to be a predominantly male dominated field. Using our background resources, we know that females are significantly more likely to switch from engineering majors than male students. As for post-graduate outcomes, we can see that nursing, accounting, and engineering have on average higher wage rates. If we observe these results in conjunction with our knowledge from our background sources, we can conclude that students who go into higher wage majors have a tendency to enter major-related careers and experience (self reported) higher levels of satisfaction than students who do not pursue major-related careers. For future research, broadening the scope of majors as well as better income brackets may provide deeper insight into potential disparities. 

References

Davern, Michael; Bautista, Rene; Freese, Jeremy; Herd, Pamela; and Morgan, Stephen L.; General Social Survey 1972-2024. [Machine-readable data file]. Principal Investigator, Michael Davern; Co-Principal Investigators, Rene Bautista, Jeremy Freese, Pamela Herd, and Stephen L. Morgan. Sponsored by National Science Foundation. NORC ed. Chicago: NORC, 2024: NORC at the University of Chicago [producer and distributor]. Data accessed from the GSS Data Explorer website at gssdataexplorer.norc.org. Malgwi, Charles A., et al. “Influences on students’ choice of college major.” Journal of Education for Business, vol. 80, no. 5, May 2005, pp. 275–282, https://doi.org/10.3200/joeb.80.5.275-282 Dickson, L. (2010). Race and Gender Differences in College Major Choice. The ANNALS of the American Academy of Political and Social Science, 627(1), 108-124. https://doi.org/10.1177/0002716209348747

Leppel, K., Williams, M.L. & Waldauer, C. The Impact of Parental Occupation and Socioeconomic Status on Choice of College Major. Journal of Family and Economic Issues 22, 373–394 (2001). https://doi.org/10.1023/A:1012716828901

Xu, Y.J. Career Outcomes of STEM and Non-STEM College Graduates: Persistence in Majored-Field and Influential Factors in Career Choices. Res High Educ 54, 349–382 (2013). https://doi.org/10.1007/s11162-012-9275-2

Nores, M. (2010). Differences in College Major Choice by Citizenship Status. The ANNALS of the American Academy of Political and Social Science, 627(1), 125-141. https://doi.org/10.1177/0002716209348748

Morrison, N. (2015, June 23). The surprising truths about how students choose their majors. Forbes. https://www.forbes.com/sites/nickmorrison/2015/06/22/the-surprising-truths-about-how-students-choose-their-major/?sh=693d13e42cb5 Butcher, K., McEwan, P., & Weerapana, A. (2023, August 6). Women’s colleges and Economics Major choice: Evidence from Wellesley College applicants. CEPR. https://cepr.org/voxeu/columns/womens-colleges-and-economics-major-choice-evidence-wellesley-college-applicants Katharine Meyer, R. M. P., Baker, D. J., & Sarah Reber, G. G. (2023, November 8). Restricted access to lucrative college majors harms underrepresented students most. Brookings. https://www.brookings.edu/articles/restricted-access-to-lucrative-college-majors-harms-underrepresented-students-most/

Significant Gender Disparity in Lowest Earning Majors