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2017 - Family Socioeconomic Status and Choice of STEM Major in College: An Analysis of a National Sample

Attribution: Niu, Lian
Researchers: Lian Niu
University Affiliation: University of Florida
Email: lian.niu09@gmail.com
Research Question:
Does students’ decision of STEM enrollment in college differ systematically by family SES?
Published: Yes
Journal Name or Institutional Affiliation: College Student Journal
Journal Entry: Vol. 51, No. 2, Pp. 298-312
Year: 2017
Findings:

– Without controlling for individual and pre-college and college context variables, family SES is not significantly related to choosing STEM major.
– Higher family SES compensates for negative predictors of STEM enrollment, such as gender and race, and strengthens the effect of positive predictors, such as math preparation.
– The gender and racial gaps in STEM enrollment narrow for students from higher SES families, and the positive correlation between math preparation and STEM enrollment strengthen with the increase of family SES, except for lowest SES students.
– Family’s immigrant background does not play a role in choice of STEM major.
– Low-SES students may not possess the information and/or skills necessary to make well-informed decisions of STEM enrollment so as to maximize their opportunity to succeed in college.
– Male students more frequently choose STEM majors than female students. The odds of men choosing STEM majors were about three times that of women.
– Asian students’ share in STEM majors is higher than their share in non-STEM majors, while the opposite holds for White and Hispanic students.
– Native English speaking students’ odds of choosing STEM major are about two-thirds of that of non-native English speaking students.
– For students who often received special privileges for good grades, the odds of choosing STEM majors in college are about two-thirds of that of those who never or rarely received such privileges.

 

 

Scholarship Types: Journal Article Reporting Empirical ResearchKeywords: CollegeCollege Major ChoiceFamily Socioeconomic StatusGenderGender GapsRaceSocioeconomic StatusSTEMRegions: NationalMethodologies: QuantitativeResearch Designs: Secondary Survey DataAnalysis Methods: Logistic Regression Sampling Frame:Students at colleges that offered STEM degrees
Sampling Types: Nationally RepresentativeAnalysis Units: StudentData Types: Quantitative-Cross Sectional
Data Description:

The data are drawn from three sources. The main data source is the Education Longitudinal Study of 2002 (ELS: 2002), the second data source is the Integrated Postsecondary Education Data System (IPEDS) by NCES, and the third data source is the Survey of Graduate Students and Post-doctorates in Science and Engineering (GSS) by the National Science Foundation (NSF) and the National Institutes of Health (NIH). Merging these data sources yields a sample of 4,500 students who attended colleges that conferred Bachelor’s degree in STEM fields.

DV: dichotomous variable indicating whether students chose a college major in STEM fields (STEM is defined as mathematics, natural sciences (including physical sciences and biological/agricultural sciences), engineering, and computer/information sciences.)

IV: Family SES (composite variable of the education level, occupation, and income of students’ parents)

Controls: gender, race/ethnicity, parental expectation , in-home parent-child discussions , home learning environment , English as native language, parental motivational practice , and students’ own expectation for education, most recent SAT math score, highest level math course taken in high school, whether ever in program to help prepare for college, importance of being able to find steady work, highest degree earned by math teacher, and school SES (percent of grade 10 students in free lunch program, categorical), selectivity of the institution, institutional enrollment in STEM fields, STEM program level (highest degree conferred), individual total cost of attendance, and students’ financial concern.

Theoretical Framework:
Relevance:Factors Related to STEM Readiness, STEM Entrance and Majoring in STEM
Archives: K-12 Integration, Desegregation, and Segregation AbstractsK-16 STEM Abstracts
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