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Alexander, Janae; Gilreath, Tamika; Grant, Morgan; Curran, Laurel – Journal of School Health, 2022
Background: Few studies have attempted to define clusters of chronic disease predictors with additional focus on racial/ethnic differences. The purpose of this study was to highlight differences in predictors of chronic diseases among American high school students by identifying subgroups using latent class analysis (LCA). Methods: The chronic…
Descriptors: Racial Differences, Chronic Illness, Predictor Variables, High School Students
Howard, Nicol R.; Howard, Keith E.; Busse, R. T.; Hunt, Christine – Urban Education, 2023
This research was conducted to examine the influence of parental involvement, in the form of parent conversations, on mathematics achievement for high school girls. Data from the High School Longitudinal Study of 2009 (HSLS:09) public-use file provided a sample of 13,694 students, including 6,592 girls for our analyses. A scale for measuring…
Descriptors: Parent Participation, Predictor Variables, STEM Education, Mathematics Achievement
Edgar I. Sanchez – ACT Education Corp., 2025
This Data Byte uses data from a previous study to analyze whether indicators of having taken advanced coursework in specific subjects (i.e., English, math, science, and social studies) can reduce the negative impact of grade inflation.
Descriptors: Advanced Courses, Grade Inflation, Grade Point Average, College Freshmen
Jewett, Elizabeth C.; Chen, Rong – Journal of Engineering Education, 2022
Background: To meet the growing demand for the science, technology, engineering, and mathematics (STEM) workforce and remain competitive in the fields of science and technology over the next decade, the United States is expected to need more than 1 million additional STEM professionals. This would require an annual increase of 34% in undergraduate…
Descriptors: STEM Education, Advanced Placement Programs, High School Students, College Students
Taylor K. Odle; Preston Magouirk – Annenberg Institute for School Reform at Brown University, 2023
Not all students who could benefit from college apply. With novel data on over 1.2 million high schoolers, we show that nearly 25% start but never complete a college application. We use descriptive techniques, data visualizations, and fixed effects models to explore this population of college-interested "non-submitters" to observe…
Descriptors: College Applicants, Persistence, High School Students, Racial Differences
Bryan, Julia; Kim, Jungnam; Liu, Chang – Professional School Counseling, 2023
This study examined how the culture in school counseling programs or departments shapes the college-related outcomes of high school students including students of color. With data from the High School Longitudinal Study 2009, we investigated two major steps in the college-going process: (a) whether students see the counselor for financial aid…
Descriptors: School Culture, School Counseling, College Attendance, Racial Differences
Joann L. Moore; Joyce Z. Schnieders – ACT Education Corp., 2025
This study investigated the value of ACT Composite scores and high school GPA (HSGPA) in predicting first-year college GPA (FYGPA) and degree completion of students with disabilities who took the ACT with accommodations and enrolled at a two-year or four-year public institution in a single state in the southern US. Descriptive analyses found that…
Descriptors: College Entrance Examinations, Scores, Grade Point Average, High School Students
Nicholas Urquhart; Juliann Sergi McBrayer; Cordelia Zinskie; Richard Cleveland – Journal of Applied Research in Higher Education, 2024
Purpose: This research examine participation in a dual enrollment program and a student's race and socioeconomic status. In addition to examining the college retention and graduation rates (student success) of dual and non-dual enrolled students, this study looked at potential race and socioeconomic disparities. Design/methodology/approach: A…
Descriptors: Dual Enrollment, Academic Persistence, Race, Socioeconomic Status
Chen Zong; Suzann M. Koller – Association for Institutional Research, 2025
Understanding the relationship between high-risk courses and Fall-to-Fall retention is essential to enhance student persistence and academic achievement in higher education institutions. The purpose of this study is to examine the relationship between high-risk courses and Fall-to-Fall retention of first-time, full-time students. The course data…
Descriptors: College Students, Course Selection (Students), Courses, Risk
Erickson, Jacob H.; Pearson, Jennifer – Education and Urban Society, 2022
Students of color are more apt to face exclusionary discipline in school, such as suspension or expulsion, than their white counterparts, and once suspended students may be more likely to drop out of school altogether. Utilizing the Education Longitudinal Study (ELS), we assess the separate and combined effects of various student level influences…
Descriptors: Race, Sex, Suspension, High School Students
Long, Melanie G. – Studies in Higher Education, 2022
Borrowing has become increasingly central to U.S. students' college financing choices. However, concerns about indebtedness may serve as a barrier to attaining a college degree for many students, particularly women and Black and Hispanic students. This study explores the determinants and heterogeneous impacts of debt aversion, or aversion to…
Descriptors: Debt (Financial), Student Attitudes, College Enrollment, Gender Differences
Carol A. Mullen; Robert J. Nitowski – International Journal of Educational Reform, 2024
Dropout is a global crisis and an affliction in the United States. This study analyzes graduation rates based on prior academic achievement, attendance, and behavior at an urban American high school in Virginia over 4 years to identify who is (not) graduating and why. Using a correlational, nonexperimental design, four cohorts of graduates were…
Descriptors: Dropouts, High School Students, Graduation Rate, Academic Achievement
Ashley B. Woolweaver; Jessica C. Barbour; Dorothy L. Espelage – School Psychology Review, 2024
Bullying is common among students; however, there are several individual characteristics or identities that make an adolescent more susceptible to victimization. This secondary data analysis of a sample of 20,302 high school students in Wisconsin uses a multilevel model to assess common risk factors such as gender identity, sexual orientation,…
Descriptors: Bullying, Victims, Individual Characteristics, Adolescents
Preeya P. Mbekeani; Daniel Koretz – AERA Open, 2024
Validity studies of college admissions tests have found that, on average, students who are Black or Hispanic earn lower freshman grade-point averages (FGPAs) than predicted by these test scores. This differential prediction is used as a measure of bias. These studies, however, conflate student and school characteristics. The differential…
Descriptors: African American Students, Hispanic American Students, Grade Point Average, Racial Differences
Jennifer L. Oliver – ProQuest LLC, 2023
This study utilized ordinal logistic regression to investigate the factors influencing the completion of dual enrollment courses among male participants in a Virginia high school program. The research aimed to address the significant underrepresentation of Black males in dual enrollment participation and credit attainment compared to their White…
Descriptors: Predictor Variables, Dual Enrollment, Males, High School Students