High School Longitudinal Study Research Articles

Shattering monolithic myths: gender gaps in STEM major selection across Asian American ethnic subgroups

Investigations into fostering gender parity in STEM have proliferated, yet the specific situation of Asian American women has been largely overlooked. Harnessing data from the High School Longitudinal Study of 2009 (HSLS:09), the analysis scrutinizes gender disparities in STEM major selections within distinct Asian American ethnic cohorts, accentuating the pivotal role of math self-efficacy. Pronounced gender disparities were discerned among Vietnamese/Thai and Filipino constituencies, as contrasting with their Chinese, Indian/Sri Lankan, and Japanese/Korean counterparts. For Vietnamese/Thai females, the disparity is partly attributable to diminished math self-efficacy, a dynamic not seen in Filipino disparities. These findings necessitate targeted interventions that foster female interest in STEM, while underscoring the imperative of ethnic specificity. It is paramount that strategies bolster the math confidence of Vietnamese/Thai females, thereby mitigating the deleterious effects of stereotypical expectations and ensuring equitable participation and outcomes.

Family Socioeconomic Status in Adolescence and Gender Identification in Emerging Adulthood

This study contributes to research exploring social factors shaping gender identification. Informed by structural symbolic interactionism, social identity theory, and Levitt’s psychosocial theory of gender, we explore how a key aspect of external social structure—adolescent family socioeconomic status—is associated with gender identification in emerging adulthood. We examine whether correlates of family socioeconomic status, including adolescent family and educational experiences and friend and high school characteristics, are associated with a cisgender, binary transgender, nonbinary, or gender unsure identification. Using data from High School Longitudinal Study of 2009 (HSLS:09), we find a positive association between adolescent family socioeconomic status and a nonbinary gender identification. Analyses indicate that educational and family experiences account for the largest percentage of the association between adolescent family socioeconomic status and nonbinary gender identification, potentially representing higher SES youths’ heightened access to middle- and upper-class cultural schemas and resources.

Do I Belong Yet? The Relationship Between Special Education, In-School Suspension, Belonging, and Engagement

Students receiving special education services are disproportionately subjected to exclusionary discipline compared to their nondisabled peers. They also report feeling less connected and engaged at school, which is associated with exclusionary discipline experiences. Using data from the High School Longitudinal Study (2009), we examined the relationship between special education, in-school suspension, school belonging, and school engagement. In line with past research, we found that students who received special education services were at a higher risk of in-school suspension than their general education peers. Students with higher levels of school engagement were at a lower risk of receiving in-school suspension, regardless of special education services. However, higher levels of school belonging were associated with more suspensions for those receiving special education, while the inverse was true for nonspecial education students. Additional research is needed to understand this unique relationship and its implications for discipline and the school experiences of students with dis/abilities.

Math motivational belief development during high school by race/ethnicity: Teachers and parents as predictors of changes.

The changes in adolescents' math motivational beliefs (i.e., expectancies for success, interest, and utility value) across Grades 9-11 and the associations between these changes and adolescents' experiences with socializers (i.e., perceived teacher unfairness and parent-adolescent discussions) were examined within each of the four largest racial/ethnic groups in the United States using the High School Longitudinal Study, a nationally representative data set (n = 19,010; 50% female; 9% Asian; 11% Black; 18% Latine; 62% White; Mage = 14.53 in Grade 9). Cross-tabulation analyses suggested that similar developmental trends emerged within each racial/ethnic group (which were tested separately). Many adolescents maintained their high or low expectancies, interest, and utility values across Grades 9-11. Some patterns varied by belief; for example, several adolescents switched from high to low interest by Grade 11, whereas several adolescents switched from low to high utility value. Parent-adolescent discussions predicted positive changes among Asian and Latine adolescents, whereas perceived teacher unfairness predicted negative changes among Black adolescents. The findings from the present study highlight the diverse developmental trends in adolescents' motivational beliefs and the potential role of socializers as sources of strength or challenge in their motivational belief development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Who benefits from high school exit exams? Examining variations in math course-taking by abilities and socioeconomic status

Using the High School Longitudinal Study of 2009, the association between high school exit exams and mathematics course-taking patterns is explored. Exit exams are linked to a decreased likelihood of students taking upward-bound mathematics during their four years of high school. Exit exams are also associated with fewer mathematics credits earned. However, exit exams are linked to increased likelihood of students completing Precalculus or higher, but have no discernible association with completing Algebra II or higher. Importantly, significant disparities exist in these associations, with underprivileged, underperforming students often experiencing limited access to advanced math courses due to exit exams.

Enhancing high-school dropout identification: a collaborative approach integrating human and machine insights

Despite its proven success in various fields such as engineering, business, and healthcare, human–machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human–machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school dropout prediction serves as a case study for examining human–machine collaboration’s efficacy. Unlike previous research prioritizing high accuracy with immutable predictors, this study seeks to bridge gaps by identifying actionable factors for dropout prediction through a framework of human–machine collaboration. Utilizing a large dataset from the High School Longitudinal Study of 2009 (HSLS:09), two machine learning models were developed to predict 9th-grade students’ high school dropout history. Results indicated that the Random Forest algorithm outperformed the deep learning algorithm. Model explainability revealed the significance of actionable variables such as students’ GPA in the 9th grade, sense of school belonging, self-efficacy in mathematics and science, and immutable variables like socioeconomic status in predicting high school dropout history. The study concludes with discussions on the practical implications of human–machine partnerships for enhancing student success.

The Interplay of CTE Credit-Taking, Occupational Program Choice, and Full-Time Work Directly After High School

We examined the impact of secondary Career and Technical Education (CTE) credit-taking on students attaining full-time employment following graduation from high school in the United States, and whether such credit-taking impacted students entering employment in a related field. We focused on occupational programs, and we used four levels of CTE credit-taking (Aliaga, 2023). Similarly, we examined the impact of job-related school strategies on full-time employment and working in a related field. This study was conducted using data from the United States High School Longitudinal Study of 2009. We found that different levels of CTE credit-taking do predict working full-time after school, depending on the occupational program, and they also predict working in a related field.

Beyond the model minority myth: Student–counselor interactions and college enrollment of Asian American students

AbstractDue to the model minority myth, scant attention has been given to the college preparation of Asian American (AA) students. Using the national sample of High School Longitudinal Study of 2009–2013, this study examined associations among student–counselor interactions, school connectedness, and college enrollment of AA students. The results of the structural equation modeling indicated that school connectedness fully mediated the association between student–counselor interactions and college enrollment. The findings from the current study suggest that when AA students interact with school counselors in the 9th grade, they tend to feel more connected to their school, which, in turn, leads to increased college enrollment decisions in the 12th grade. Implications for helping professionals in schools are discussed.

Trans Student Discrimination, College Access, and Finances: A Critical Quantitative Analysis

This study explores and examines the differences in financial resources and access to college between transgender and cisgender students. Using a quantitative criticalist lens, the authors analyzed data from the U.S. Department of Education High School Longitudinal Study (HSLS:09) and found that while trans and cisgender students attend college at similar rates, trans students were more likely to experience discrimination in and drop out of high school. Further, trans students were more likely to take out loans, have lower incomes, and be less able to pay an unexpected $500 expense compared to their cisgender peers. The article closes with recommendations to researchers, policymakers, and leaders in education.

Rurality and Resources: Influence of High School and Individual Characteristics on Postsecondary Participation

This study explores a cohort of rural high school student's participation in postsecondary education within three years of graduation. We use the National Center for Educational Statistics (NCES) 's High School Longitudinal Study of 2009 (HSLS2009) and logistic regression to answer our research questions. We found that many rural students plan to attend college and even apply to college; however, this did not mean that students would attend college. Also, counselors spending 20-50 percent of their time on college support positively affected students' college enrollment.

STEM Pathway and College Progression: The Link Between Engineering CTE and Postsecondary Outcomes for Students With Learning Disabilities

Despite growing calls to increase diversity in science, technology, engineering, and mathematics (STEM) fields, students with learning disabilities (SWLDs) remain underrepresented in STEM at the postsecondary level. Considering this call for increased diversity as a means to expand and strengthen STEM success, we used the High School Longitudinal Study of 2009 to explore how participation in engineering career and technical education (E-CTE) links to postsecondary educational outcomes for SWLDs. Particularly, we examined how E-CTE participation relates to postsecondary remedial course taking, enrollment in a 4-year postsecondary institution, and declaration of a STEM major. Results from school fixed-effects estimations suggest that each credit of E-CTE earned is associated with fewer remedial college courses, a higher likelihood of enrolling in a 4-year as opposed to sub-baccalaureate institution, and increased odds of declaring a STEM major. To conclude, we discuss the implications of our findings for both policymakers and practitioners.

Concept-Focused and Procedure-Focused Instruction on the Algebra Performance of Grade 9 Students With and Without Mathematics Difficulty.

Developing both conceptual and procedural knowledge is important for students' mathematics competence. This study examined whether Grade 9 general education mathematics teachers' self-reported use of concept-focused instruction (CFI) and procedure-focused instruction (PFI) were associated differently with ninth graders' algebra achievement after 2.5 years, depending on students' mathematics difficulty (MD) status. Data for this study were drawn from the High School Longitudinal Study for the years 2009-2010 and 2011-2012 (N = 19,104). Multiple regression analyses indicated that students with MD who participated in Grade 9 mathematics classrooms where teachers self-reported the use of less CFI and more PFI were more positively associated with having higher algebra achievement after 2.5 years. Conversely, students without MD in classrooms where mathematics teachers self-reported the use of more CFI and less PFI were positively associated with having higher algebra achievement after 2.5 years. However, this study's findings do not suggest that teachers should disregard CFI and provide only PFI when teaching students with MD. Because the data set did not include any variable to discover whether teachers provided sufficient support (i.e., evidence-based practices) for students with MD, who have more constraints in their cognitive skills compared to students without MD, to benefit from CFI, the findings of this study should be interpreted cautiously. Directions for future research and practical implications are discussed.

Reciprocal relationship between self-efficacy and achievement in mathematics among high school students

Self-efficacy or perceived ability refers to the confidence an individual has in their ability to successfully perform a specific task. Previous researchers have demonstrated the importance of self-efficacy beliefs and its impact on predicting students’ mathematics performances. Specifically, gender has been regarded as an important moderator variable in the prediction of achievement from measures of affect. To this end, using data from High School Longitudinal Study of 2009, this study utilized the multi-group analysis under the framework of structural equation modeling to examine gender differences in the reciprocal relationship between mathematics self-efficacy and mathematics achievement. The results showed that there were statistically significant differences between male students and female students in the reciprocal relationship between mathematics self-efficacy and mathematics achievement; the impact of prior mathematics achievement on later mathematics achievement was stronger than the impact of prior mathematics self-efficacy on later mathematics self-efficacy. Significance of these findings were discussed in this paper.

Participation and Persistence in High School Elective Music Ensembles

In this study, we examined demographic patterns of participation and persistence in high school elective music ensembles. We extend prior research that has only compared music and non-music students by explicitly modeling persistence across multiple years of ensemble enrollment. The research draws on data from the High School Longitudinal Study of 2009 and employs a zero-inflated Poisson regression model to analyze the data. This hurdle model, suitable for count data with a large number of zero observations, allows us to jointly examine factors related to enrolling in at least 1 year of a music ensemble (moving from 0 years to 1 year of music) and those factors related to accruing additional years of music ensemble enrollment (moving beyond 1 year to multiple years). We found that family socioeconomic status, birth-assigned sex, academic achievement, shared parent/student outside arts event attendance, and out-of-school arts engagement were significant predictors of both students’ music participation and persistence. By examining persistence, we add important nuance to the prior research examining demographic predictors of elective high school music enrollment, particularly for issues of birth-assigned sex and socioeconomic status in the choral context.

Longitudinal associations between Latine parents' support and their adolescents' science motivation and STEM career expectations.

Parents' science support and adolescents' motivational beliefs are associated with adolescents' expectations for their future occupations; however, these associations have been mostly investigated among White, middle-class samples. Framed by situated expectancy-value theory, the current study investigated: (1) the associations between parents' science support in 9th grade and Latine adolescents' science intrinsic value, utility value, and STEM career expectations in 11th grade, and (2) whether these indicators and the relations among them differed by adolescents' gender and parents' education. Study participants included Latine adolescents (n = 3060; Mage = 14.4 years old; 49% female) in the United States from the High School Longitudinal Study of 2009. Analyses revealed a significant, positive association between parents' science support and Latine adolescents' science utility value. Additionally, there was a significant, positive association between parents' science support and Latinas' science intrinsic value, but not for Latinos' science intrinsic value. Latine adolescents' science utility value, but not their science intrinsic value, predicted their concurrent STEM career expectations. Though there were no significant mean level differences in adolescents' science utility value or parents' science support based on adolescents' gender, the measure of adolescents' science intrinsic value varied across girls and boys. Finally, adolescents whose parents had a college degree received greater science support from parents compared to adolescents whose parents had less education than a college degree. Findings suggest parents' science support and adolescents' intrinsic and utility values have potential associations with Latine adolescents' STEM career expectations near the end of high school.

Examining changes in adolescents' high school math and science motivational beliefs and their relations to parental STEM support and STEM major choice at the intersectionality of gender and college generation status.

Drawing on the situated expectancy-value, dimensional comparison theories, and the intersectionality approach, this article examined the changes in adolescents' math and science motivational beliefs, the parental and college correlates of those beliefs, and the differences at the intersection of gender and college generation status (i.e., female and male first- and continuing-generation college students). Findings based on the nationally representative high-school longitudinal study data (N = 12,070; Mage = 14 years; 54% female students; 28% first-generation college students; and 14% Latinx, 9% Black, 10% Asian, and 57% White) suggest that although adolescents' math and science ability self-concepts declined during high school, their science interest remained stable, and their math and science utility values increased. Adolescents' motivational beliefs in ninth grade and the changes from ninth to 11th grade positively predicted whether they declared a science, technology, engineering, and mathematics (STEM) college major. Parents' ninth-grade STEM support was more consistently associated with adolescents' concurrent beliefs compared to the changes in their beliefs. Finally, we found that female first-generation college students, who were more likely to be Latinx and Black students, tended to have lower math and science motivational beliefs, received less parental STEM support, and were less likely to choose a STEM major than their peers. The findings of this study indicate adolescents' math and science motivational development in high school matters for their college majors and that certain understudied groups, including female first-generation college students, may experience acute marginalization in STEM and warrant further attention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Unpacking the Gap: Socioeconomic Background and the Stratification of College Applications in the United States

While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about why students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in college application selectivity. Using data from the High School Longitudinal Study of 2009, we examine the contribution of theoretical factors to the class-based gap in the selectivity of college applications. Namely, from the rational action model we estimate the contribution of performance differentials and choice differentials, while from the status attainment model we look at the level and type of educational expectations as well as the number of applications submitted. Through a series of Heckman selection models, as well as a Blinder-Oaxaca decomposition analysis, we can explain 85% of the gap in college application selectivity between students in the top and bottom SES quintiles. In turn, we estimate that 60% of this explained portion is due to rational action mechanisms such as grades and test scores while 35% is due to status attainment mechanisms. Finally, we reveal that SES moderates the relationship between type of expectations and application selectivity. We find that the payoff to higher expectations (in terms of selective applications) disproportionately accrues to higher-SES students.

Not everyone is the same: How Demographic, Contextual, and Instructional Factors Contribute to Mathematics Identity in Various Student Populations

Research suggests a positive mathematics identity is associated with increased achievement and engagement in mathematics. However, previous large scale research on mathematics identity has examined students as a homogeneous group, ignoring differences that may exist due gender, race, or ability level. Additionally, research examining conceptual instruction has focused on the effect it has on achievement, but not on the way it improves identity. This study addresses these two gaps by examining the contribution conceptual instruction makes to the mathematics identity of students and how that contribution differs when considering race, gender, and achievement. This secondary analysis of survey data from the High School Longitudinal Study of 2009 uses multiple regression to investigate the relationship between conceptual instruction and mathematics identity in a sample of over 23,000 ninth graders. I divided the sample by achievement level to look for different relationships between samples of low and high achieving students across the United States. Findings show that conceptual instruction positively contributes to student mathematics identity and reveals race to be a significant moderator in this relationship

Unveiling leadership priorities: a comparative study of principal time use across high school types

PurposeAs responsibilities of high school principals continue to expand, their workweeks become longer, and their attention is stretched in multiple directions. How principals from various school types use their time is influenced by their organizational structures and external policies. To gain deeper insights into the workload, priorities and constraints faced by high school principals, this study examines principal time use (PTU) patterns across different school types, including traditional public schools (TPSs), charter schools, Catholic schools and non-Catholic private schools.Design/methodology/approachDrawing on the national representative data from the High School Longitudinal Study of 2009 in the USA, this study examines and compares PTU in various leadership tasks across different school types, controlling for school and principal characteristics.FindingsAmong various high school types, principals in TPS had the longest workweeks. However, the extended workweek did not necessarily result in significantly more hours or a larger proportion of their time dedicated to instructional leadership. Instead, TPS principals allocated more time to administrative tasks and student affairs than principals in other school types.Originality/valueBy examining PTU of different school types, this study adds new evidence on the influence of contextual factors on leadership behavior. It also offers policy implications to enhance principals’ capacities, alleviate their workload and to prioritize time use in different leadership domains.

The Use of Reparametrization and Constraints on Linear Models to Parse Qualitative and Quantitative Information for a Set of Predictors

The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show that all mathematics courses are not equally predictive of math achievement. Thus, taking into account qualitative aspects of mathematics courses is useful. The study ends with a justification of quantifying qualitative aspects of predictors relative to a criterion with extensions to other linear models.