Are changes of major major changes? The roles of grades,gender, and preferences in college major switching

The choice of college major is a key stage in the career search, and over a third of college students switch majors at least once. We provide the first comprehensive analysis of major switching, looking at the patterns of switching in both academic and non-academic dimensions. Low grades signal academic mismatch and predict switching majors - and the lower the grades, the larger the switch in terms of course content. Surprisingly, these switches do not improve students’ grades. When students switch majors, they switch to majors that “look like them”: females to female-heavy majors, and so on. Lower-ability women flee competitive majors at high rates, while men and higher-ability women are undeterred. Women are far more likely to leave STEM fields for majors that are less competitive – but still somewhat science-intensive – suggesting that leaving STEM may be more about fleeing the “culture” of STEM majors than fleeing science and math.     

Double your major,double your return?

We use the 2003 National Survey of College Graduates to provide the first estimates of the effect on earnings of having a double major. Overall, double majoring increases earnings by 2.3% relative to having a single major among college graduates without graduate degrees. Most of the gains from having a double major come from choosing fields across two different major categories. Graduates who combine an arts, humanities or social science major with a major in business, engineering, science or math have returns 7–50% higher than graduates with a single major in arts, humanities or social science. But such double major combinations have returns no higher than single majors in business, engineering, science or math. Majors combining business and science or math have returns more than 50% greater than the returns to having a single major in these fields.     

Bye bye Ms. American Sci: Women and the leaky STEM pipeline

More than two-thirds of STEM jobs are held by men. In this paper, I provide a detailed analysis of the STEM pipeline from high school to mid-career in the United States, decomposing the gender gap in STEM into six stages. Women are lost from STEM before college, during college, and after college. Men are more likely to be STEM-ready before college, scoring higher on science tests and having taken more advanced math and science courses. This accounts for 35% of the overall gender gap in STEM careers. During college, men are far more likely than women to start in a STEM major, accounting for 26% of the gap. After college, male STEM graduates are more likely to enter STEM jobs, accounting for 41%. Men’s higher persistence in STEM majors is a smaller factor, while women attend college at higher rates than men, which works to reduce the final gender gap in STEM. The results show that there is no single stage to focus on in understanding the gender gap in STEM.     

How Do Academic Achievement and Gender Affect the Earnings of STEM Majors? A Propensity Score Matching Approach

The United States government recently enacted a number of policies designed to increase the number of American born students graduating with degrees in science, technology, engineering and mathematics (STEM), especially among women and racial and ethnic minorities. This study examines how the earnings benefits of choosing a STEM major vary both by gender and across the distribution of academic achievement. I account for the selection into college major using propensity score matching. Measures of individual educational preferences based on Holland’s theory of career and educational choice provide a unique way to control for college major selection. Findings indicate that the earnings benefit to STEM major choice ranges from 5 to 28 % depending both on academic achievement and on gender and that high-achieving students benefit more from STEM major choice. Further, high achieving men benefit more from STEM majors than high-achieving women. Earnings differences in major choice may play an important role in explaining the underrepresentation of women in STEM major fields, especially among high achieving students.     

Modeling Entrance into STEM Fields of Study Among Students Beginning at Community Colleges and Four-Year Institutions

In this study, a theoretical model is tested to examine factors shaping the decision to pursue STEM fields of study among students entering community colleges and four-year institutions, based on a nationally representative sample of high school graduates from 2004. Applying the social cognitive career theory and multi-group structural equation modeling analysis, this research highlights a number of findings that may point to specific points of intervention along students’ educational pathway into STEM. This study also reveals important heterogeneity in the effects of high school and postsecondary variables based on where students start their postsecondary education: community colleges or four-year institutions. For example, while high school exposure to math and science courses appears to be a strong influence on four-year beginners’ STEM interest, its impact on community college beginners’ STEM interest, albeit being positive, is much smaller. In addition, college academic integration and financial aid receipt exhibit differential effects on STEM entrance, accruing more to four-year college students and less to those starting at community colleges.     

Building undergraduate STEM majors’ capacity for delivering inquiry-based mathematics and science lessons: An exploratory evaluation study

Recruiting and preparing STEM majors for teaching has become one of the major efforts at improving mathematics and science teacher quality at secondary level. One question is whether STEM majors who have not had the chance to experience active learning in mathematics and science classes as secondary students themselves know what inquiry pedagogy is. Secondly, it is unclear whether those who experienced inquiry in their college introductory discipline courses will be able to utilize the pedagogy in teaching secondary content. We address these questions through studying an undergraduate research methods course designed to improve STEM majors’ capacity for delivering inquiry-based mathematics and science lesson. Analysis of data from pre-and-post course surveys and students’ written research reports including students’ reflection on their inquiry projects suggests that offering future STEM teachers opportunities to conduct inquiry and reflect explicitly on how inquiry can be used to teach secondary content is important and beneficial.     

Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM

The underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields is problematic given the economic and social inequities it fosters and the rising global importance of STEM occupations. This paper examines the role of the demographic composition of high school faculty—specifically the proportion of female high school math and science teachers—on college students’ decisions to declare and/or major in STEM fields. We analyze longitudinal data from students who spent their academic careers in North Carolina public secondary schools and attended North Carolina public universities. Our results suggest that although the proportion of female math and science teachers at a school has no impact on male students, it has a powerful effect on female students’ likelihood of declaring and graduating with a STEM degree, and effects are largest for female students with the highest math skills. The estimates are robust to the inclusion of controls for students’ initial ability.     

The role of high school racial composition and opportunities to learn in students' STEM college participation

We analyze longitudinal data from students who spent their academic careers in North Carolina (NC) public secondary schools and attended NC public universities to investigate the importance of high school racial composition and opportunities to learn in secondary school for choosing a science, technology, engineering, and mathematics (STEM) major. We consider school racial composition and opportunities to learn as contexts that shape students' decisions regarding college majors. Results of cross‐classified hierarchical logistic models indicate that attending schools with predominantly White students is negatively associated with declaring a STEM major and with graduating with a STEM major irrespective of students' own race. The finding suggests that for students in North Carolina, attending racially isolated White high schools is related to a decrease in adolescents' participation in STEM during college.     

Comprehensive Cocurricular Support Promotes Persistence of Community College STEM Students

ABSTRACT

Despite good career prospects in science, technology, engineering, and mathematics (STEM) fields, persistence of students in STEM fields of study at the community college and transfer to universities to pursue STEM majors is often quite low. Theories of persistence emphasize the importance of engagement, integration, validation, and financial assistance. The DCCCD STEM Institute is a comprehensive cocurricular program for community college STEM students. It illustrates the application of persistence theories in a multicollege urban district with a diverse student body. The STEM Institute uses a student/faculty cohort model with mentoring, professional skills programming, and scholarship support to transform student perceptions of themselves, integrate them into a STEM educational community, and validate their membership within that community. Institute membership also reduces isolation and financial concerns as potential barriers to persistence. STEM faculty also participate in professional skill development through a cross-college and cross-disciplinary cohort. Data on students who participated in the DCCCD STEM Institute from 2010 through 2014 show that 92% remain in a STEM educational or career pathway. Important practice implications for community college professionals include (1) forming student and faculty cohorts, (2) facilitating the development of mentoring relationships, (3) providing adequate centralized staffing, and (4) integrating resources and opportunities into a unified cocurricular program.     

How do young people choose college majors?

Previous studies on the determinants of the choice of college major have assumed a constant probability of success across majors or a constant earnings stream across majors. Our model disregards these two restrictive assumptions in computing an idiosyncratic expected earnings variable to explain the probability that a student will choose a specific major among four choices of concentrations. The construction of an expected earnings variable requires information on the student's perceived probability of success, the predicted earnings of graduates in all majors and the student's expected earnings if he (she) fails to complete a college program. Using data from the National Longitudinal Survey of Youth, we evaluate the chances of success in all majors for all the individuals in the sample. Second, the individuals' predicted earnings of graduates in all majors are obtained using Rumberger and Thomas's [Econ. Educ. Rev. 12 (1993) 1] regression estimates from a 1987 Survey of Recent College Graduates. Third, we obtain idiosyncratic estimates of earnings alternative of not attending college or by dropping out with a condition derived from our college major decision-making model applied to our sample of college students. Finally, with a mixed multinomial logit and probit models and an heteroscedastic extreme value model, we explain the individuals' choice of a major. The results of the paper show that the expected earnings variable is essential in the choice of a college major. There are, however, significant differences in the impact of expected earnings by gender and race.     

Increasing Persistence in Undergraduate Science Majors: A Model for Institutional Support of Underrepresented Students

The 6-yr degree-completion rate of undergraduate science, technology, engineering, and mathematics (STEM) majors at U.S. colleges and universities is less than 40%. Persistence among women and underrepresented minorities (URMs), including African-American, Latino/a, Native American, and Pacific Islander students, is even more troubling, as these students leave STEM majors at significantly higher rates than their non-URM peers. This study utilizes a matched comparison group design to examine the academic achievement and persistence of students enrolled in the Program for Excellence in Education and Research in the Sciences (PEERS), an academic support program at the University of California, Los Angeles, for first- and second-year science majors from underrepresented backgrounds. Results indicate that PEERS students, on average, earned higher grades in most “gatekeeper” chemistry and math courses, had a higher cumulative grade point average, completed more science courses, and persisted in a science major at significantly higher rates than the comparison group. With its holistic approach focused on academics, counseling, creating a supportive community, and exposure to research, the PEERS program serves as an excellent model for universities interested in and committed to improving persistence of underrepresented science majors and closing the achievement gap.     

Initial Evidence on the Influence of College Student Engagement on Early Career Earnings

Using data from three waves of longitudinal surveys of the 2001 freshman cohort of the Gates Millennium Scholars (GMS) program, this study examined linkages between student engagement in college activities and early career earnings in the labor market. The results indicated that social engagement was positively related to early career earnings of college graduates while academic engagement was not. When considering students who majored in STEM fields versus those in non-STEM fields, results showed academic engagement to be positively related to early career earnings for non-STEM students but slightly negatively related to earnings in the labor market for STEM students. Social engagement was positive for graduates in the STEM fields but not significant for non-STEM students. Altogether, results show a complex relationship between student engagement and early career earnings. Implications for research and institutional policy are discussed.     

Beyond Traditional Measures of STEM Success: Long-Term Predictors of Social Agency and Conducting Research for Social Change

Despite the importance of preparing socially responsible graduates in science, technology, engineering, and mathematics (STEM) to address the current state of poverty and inequality, very few studies in higher education have examined the development of STEM students’ outcomes critical to promoting a more equitable society, typically focusing on the impact of one program or course. To address this gap in the literature, this study used frameworks of undergraduate socialization as well as social justice perspectives in STEM education to examine the undergraduate experiences and institutional contexts that predict STEM bachelor’s degree recipients’ development of two democratic educational outcomes seven years after college entry: social agency and values toward conducting research that will have a meaningful impact on underserved communities. The study utilized multilevel modeling on a national longitudinal sample of 6341 STEM bachelor’s degree recipients across 271 institutions. Longitudinal student data from the 2004 Cooperative Institutional Research Program’s (CIRP) Freshman Survey and 2011 Post-Baccalaureate Survey were merged with institutional data from the Integrated Postsecondary Educational Data System and CIRP Faculty Surveys. Various undergraduate socialization experiences and institutional contexts were found to predict STEM bachelor’s degree recipients’ democratic educational outcomes, including academic majors, participation in student organizations and research, experiences with faculty, and peer and STEM faculty normative contexts. Implications of the findings for research, policy, and practice are discussed.     

Expectancy-value profiles in math and science: A person-centered approach to cross-domain motivation with academic and STEM-related outcomes

The need to enhance the STEM workforce and, in turn, the STEM educational pipeline is a prevailing issue in the U.S. One critical component in this pipeline is students’ interest in STEM majors and their persistence in such majors, theorized to be a function of both students’ perceived value and expectancy beliefs in the subject matter. Using an expectancy-value lens, we examined cross-domain patterns of high school students’ expectancy beliefs and values in both mathematics and science using a person-centered or profile approach. With data from the High School Longitudinal Study, latent profile analysis revealed five profiles characterized as Low Math/Low Science (i.e., endorsing low levels of expectancy and value beliefs in math and science), Moderate Math/Moderate Science, High Math/High Science, Low Math/High Science, and High Math/Low Science. Taking into account aspects of students’ background and school context, we found that motivational profile membership predicted math and science high school achievement, college persistence, and both STEM major intentions and major choices. Moreover, there were a number of gender and racial/ethnic differences and contextual variation in profile memberships as well. Implications for theory and educational practice are discussed in relation to study findings.     

The Operation of Bureaus of Educational Research–With Particular Reference to Wisconsin

ABSTRACT

Advanced mathematics and science coursetaking is critical in building the foundation for students to advance through the STEM pathway—from high school to college to career. To invigorate students’ persistence in STEM fields, high schools have been introducing applied STEM courses into the curriculum as a way to reinforce concepts learned in traditional mathematics and science classes and to motivate students’ interests in a long-term pursuit of these areas. The author examines the role of taking applied STEM courses early in high school on taking advanced mathematics and science courses later in high school. The results suggest a positive link between early applied STEM coursetaking and later advanced mathematics and science coursetaking—one that is delineated by specific type of applied STEM course and by individual-level demographic characteristics. The findings of this study thus support policymakers and practitioners’ efforts to expand the STEM curriculum beyond traditional subjects. Continuing to do so may be one way to expand the number of students persisting in STEM.     

Gender differences in the Australian undergraduate STEM student experience: a systematic review

ABSTRACT

In Australia, the number of female graduates in some science, technology, engineering, and mathematics (STEM) disciplines is as low as 15%. Previous reviews exploring the issues affecting female undergraduate STEM students are primarily based in North America and there is yet to be an Australian focused review. This review identifies the factors contributing to the gendered experience of Australian undergraduate STEM students. A systematic review was conducted in November – December 2018 using ERIC, PsycInfo, ProQuest and Scopus databases. From this review, 36 papers that focus on gender differences and university STEM students in Australia were identified. The Australian research suggests the most prominent issue for female STEM students is their lower self-efficacy. Gendered preferences for learning, gendered motivations to pursue STEM degrees, the masculine culture of these fields and gender differences in science identity were also themes identified through the review. This review indicates some gaps in the Australian literature, namely that identity, and other emotional factors, are understudied in the Australian context and an avenue for future research. The findings suggest that science educators should be aware of the gendered experiences of their students to ensure female persistence in university STEM degrees.     

Beliefs and Attitudes about Science and Mathematics in Pre-Service Elementary Teachers,STEM, and Non-STEM Majors in Undergraduate Physics Courses

Elementary teachers often hold inaccurate beliefs about the Nature of Science (NoS) and have negative attitudes toward science and mathematics. Using a pre-post design, the current study examined beliefs about the NoS, attitudes toward science and mathematics, and beliefs about the teaching of mathematics and science in a large sample study (N = 343) of pre-service teachers receiving a curriculum-wide intervention to improve these factors in comparison with Science, Technology, Engineering, and Mathematics (STEM) and non-STEM majors in other physics courses (N = 6697) who did not receive the intervention, over a 10-year period. Pre-service teachers evidenced initially more negative attitudes about mathematics and science than STEM majors and slightly more positive attitudes than non-STEM majors. Their attitudes toward mathematics and science and beliefs about the NoS were more similar to non-STEM than STEM majors. Pre-service teachers initially evidenced more positive beliefs about the teaching of mathematics and science, and their beliefs even increased slightly over the course of the semester, while these beliefs in other groups remained the same. Beliefs about the NoS and the teaching of mathematics and science were significantly negatively correlated for STEM and non-STEM majors, but were not significantly correlated for pre-service teachers. Beliefs about the NoS and attitudes toward mathematics and science were significantly positively correlated for both pre-service teachers and STEM students pursing the most mathematically demanding STEM majors. Attitudes toward science and mathematics were significantly positively correlated with accurate beliefs about the teaching of mathematics and science for all student groups.