Diversity in Education
Diversity in Education
  • Overview
  • K-12 Integration, Desegregation, and Segregation Archive
  • K-16 STEM Archive
  • Browse
    • By Method of Analysis
    • By Unit of Analysis
    • By Data Type
    • By Journal Name or Institutional Affiliation
    • By Keyword
    • By Methodology
    • By Region
    • By Research
    • By Scholarship
    • By Sample Type
  • Help
  • Contact Us

Filter

  • Sort by

  • Filtered Search Term

  • Archive

  • Keywords

  • Research Designs

  • Analysis Methods

  • Researchers

2016 - Does Postsecondary Persistence in STEM Vary by Gender?

Attribution: King, Barbara
Researchers: Barbara King
University Affiliation: Florida International University
Email: bking@fiu.edu
Research Question:
Does persistence within STEM majors differ by gender?
Published: Yes
Journal Name or Institutional Affiliation: AERA Open
Journal Entry: Vol. 2, No. 4, Pp. 1-10
Year: 2016
Findings:

– Results indicate that no significant gender differences in persistence exist. This finding holds among those in computer science, engineering, mathematics, and physical science, and for those in life science. Additionally, the results are unchanged if the sample is limited to degree earners and are robust to the inclusion of individual and institutional variables.
– Although it is clear that women are less likely to choose certain STEM majors, those who do are no less likely to earn a STEM degree.
– Although the results show women persist in STEM at the same rate as men, they do not disprove the possibility that many STEM classrooms are chilly places for women. It may still be the case that women face obstacles that are not present for male students, but perhaps the women who choose to
enter STEM fields are particularly resilient to such obstacles.
– Among students intending to major in computer science, engineering, mathematics, and physical science, parent education level, SAT Verbal test scores, and highest math course taken in high school were each positively associated with persistence.
– Students’ GPA in STEM courses while in college was also significantly related to persistence.
– For students in the life sciences, parent education, expecting to earn a doctoral or professional degree compared to expecting to earn a bachelor’s degree or lower, and attending a moderately selective school versus an open-selectivity school are significant predictors of persistence.
– Black, Asian, Hispanic, and students of other races/ethnicities persist at statistically comparable rates as students in the reference category, non-Hispanic White.

 

Scholarship Types: Journal Article Reporting Empirical ResearchKeywords: CollegeGenderGPAPersistenceRaceSTEMRegions: NationalMethodologies: QuantitativeResearch Designs: Secondary Survey DataAnalysis Methods: Descriptive StatisitcsLogistic Regression Sampling Frame:First Year STEM Students
Sampling Types: Nationally RepresentativeAnalysis Units: StudentData Types: Quantitative-Longitudinal
Data Description:

Beginning Postsecondary Students Longitudinal Study (BPS:04/09). All respondents were first-time college students during the 2003-2004 academic year in the United States. Respondents were interviewed at the end of their first academic year, with follow-up surveys conducted in 2006 and 2009. The analytic sample for this study included 1,694 students who attended a 4-year institution and reported during the 2003-2004 interview that their initial college major was in a STEM field.

The outcome variable in this study measures whether or not a student persists within his or her initial field of study and earns a bachelor’s degree. To persist, students must earn a degree within 6 years of beginning school in the same STEM subfield as their intended major. Two ways of measuring nonpersistence are considered. In the first, all STEM students who either do not earn a degree or
earn a degree outside of their original subfield are included as nonpersisters. In the second, students who do not earn a degree are removed from the analytic sample, resulting in a comparison between students who persist and students who switch fields and earn a degree in another area.

Social background variables used in this study include family income (logged), parent education level (measured ordinally in terms of the highest level completed by either parent), and race/ethnicity

Official math and verbal SAT scores, as well as students’ self-reported cumulative high school GPA are included. Course taking is measured using two variables, the highest math course taken and the number of advanced placement (AP) credits earned in mathematics.

At the institutional level, college enrollment size and selectivity were controlled for. College selectivity was measured using categories created by BPS that take into account the number of applicants and number admitted, the 25th and 75th percentiles on ACT and/or SAT scores, and whether test scores were required.

As for students’ experiences in college, social and academic integration variables provided in BPS and students’ college GPA in STEM were used. The academic integration variable includes how often the student participated in study groups, had social contact with faculty, met with an academic advisor, or talked with faculty about academic matters outside of class, and the social integration variable measures how often the student participated in school clubs, attended fine arts activities, or participated in intramural or varsity sports.

Theoretical Framework:
Relevance:STEM Persistence and Retention
Archives: K-16 STEM Abstracts
Skip to toolbar
  • Log In