Search for: All records

ABSTRACT IntroductionIndividuals' math value beliefs are theorized to influence who persists in STEM. However, the existing findings on gender differences in adolescents' math value beliefs are inconsistent. The goal of this study was to use three existing datasets to help clarify when gender differences emerge for high school adolescents and for whom (i.e., adolescents across historical time, grade level, and race/ethnicity). Specifically, we examined the extent to which gender differences in adolescents' math value beliefs (i.e., interest, utility, and attainment) replicated (1) across three datasets spanning the 1990s to 2010s, (2) from 9th–12th grade, and (3) within each of the four largest U.S. racial/ethnic groups (i.e., Asian, Black, Latine, and White adolescents). MethodsWe tested these aims with three existing longitudinal U.S. datasets: the California Achievement Motivation Project (CAMP) (n = 8855), the Childhood and Beyond Study (CAB) (n = 582), and the High School Longitudinal Study (HSLS) (n = 21,000). Students were in high school (9th–12th grade) and half were girls (49%–53%). All three datasets included measures with the same or similar math value belief items, making conceptual replication possible. Results and ConclusionsOverall, we did not find strong evidence for meaningful gender differences in adolescents' math value beliefs overall. We did find meaningful gender differences in the oldest data set (CAB). When examined within each racial/ethnic group, we found no evidence of gender differences in math value beliefs among Black or Latine adolescents, but some differences among Asian and White adolescents. The findings align with the gender similarities hypothesis, suggesting adolescent girls and boys had similar math value beliefs. 

Though adults tend to endorse the stereotype that boys are better than girls in math, children tend to favor their own gender or be gender egalitarian. When do individuals start endorsing the traditional stereotype that boys are better? Using two longitudinal U.S. datasets that span 1993 to 2011, we examined three questions: (1) What are the developmental changes in adolescents’ gender stereotypes about math abilities from early to late adolescence? (2) Do the developmental changes vary based on gender and race/ethnicity? (3) Are adolescents’ stereotypes related to their math motivational beliefs? Finally, (4) do these patterns replicate across two datasets that vary in historical time? Adolescents in grades 8/9 and 11 were asked whether girls or boys are better at math (n’s = 1186 and 23,340, 49–53% girls, 30–54% White, 13–60% Black, 1–22% Latinx, and 2% to 4% Asian). Early adolescents were more likely to be gender egalitarian or favor their own gender. By late adolescence, adolescents’ stereotypes typically shifted towards the traditional stereotype that boys are better. In terms of race/ethnicity, White and Asian adolescents significantly favored boys, whereas Black and Latinx adolescents were more likely to endorse gender egalitarian beliefs. Adolescents’ stereotypes were significantly related to their expectancy beliefs, negatively for girls and positively for boys. 

Introduction Why do some students maintain their career expectations in STEM (science, technology, engineering, mathematics), whereas others change their expectations? Using situated expectancy-value and social cognitive career theories, we sought to investigate the extent to which STEM support predicted changes in students' STEM career expectations during high school, and if these processes varied by whether the student had college educated or noncollege educated parents. Methods Using the nationally representative data set of the High School Longitudinal Study, we investigated the predictors of changes in US students' STEM career expectations from 9th to 11th grade (n = 13,100, 54% noncollege educated parents, 51% girls, 55% White, 21% Latinx, 12% Black). Results and Conclusions Students with noncollege educated parents were significantly more likely to change from STEM to non-STEM career expectations by 11th grade or to have stable non-STEM career expectations (compared to having stable STEM expectations or changing from non-STEM to STEM expectations). Additionally, students with noncollege educated parents were less likely to receive STEM support from parents and attend extracurricular activities compared to students with college educated parents. However, when examining the predictors among students with noncollege educated parents, students were more likely to maintain their expectations for a STEM career from 9th to 11th grade (compared to switching to a non-STEM career) if they had parental STEM support. Additionally, all students regardless of parents' level of education were more likely to maintain their expectations for a STEM career (vs. switching to a non-STEM career) through high school if they received teacher STEM support. Furthermore, students were more likely to develop STEM career expectations (vs. maintaining non-STEM career expectations) if they had parent STEM support. These findings highlight how parent and teacher STEM support may bolster STEM career expectations, particularly among students with noncollege educated parents. 

Though adolescents’ science identity beliefs predict positive STEM outcomes, researchers have yet to examine developmental differences within racial/ethnic groups despite theoretical arguments for such studies. The current study examined science identity trajectories for Black (14%), Latinx (22%), Asian (4%), and White (52%) students (N = 21,170; 50% girls) from 9th grade to three years post-high school and the variability within each racial/ethnic group based on gender and college generational status. Contrary to the literature, students’ science identities increased over time, and the increases were larger for potential first- versus continuing-generation White students. Potential continuing-generation boys had stronger 9th grade science identities than potential first-generation girls in all groups except Asians. The findings suggest who might benefit from additional supports within each racial/ethnic group.