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April Wood Stewart – ProQuest LLC, 2023
This quantitative study used archived student records to determine which high school and postsecondary factors are the most significant predictors of college retention among 2,175 students enrolled at the University of West Georgia in Fall 2018. A two-tailed t-test was conducted for research questions one and two to analyze the high school GPAs…
Descriptors: Dual Enrollment, Academic Persistence, College Students, Grade Point Average
Dohy, Jennifer; Petty, Nicholas; Banks, Tachelle – Multicultural Learning and Teaching, 2023
This study examines the relationship between student success measures on student achievement to inform our approach to mediating against potential barriers on persistence and retention for first generation and traditionally marginalized populations for students enrolled in a new Living Learning Community. Success measures examine those beyond the…
Descriptors: College Freshmen, Academic Achievement, First Generation College Students, Academic Persistence
Visualizing and Predicting the Path to an Undergraduate Physics Degree at Two Different Institutions
Stewart, John; Hansen, John; Burkholder, Eric – Physical Review Physics Education Research, 2022
This study examined physics major retention to degree at two institutions with substantially different admissions selectivity. Two modes of leaving the physics major were examined: leaving college and changing to another major while staying in college. The risk of leaving college while still enrolled as a physics major was highest in the spring…
Descriptors: Physics, Science Instruction, College Science, Undergraduate Students
Han, Cheon-woo; Farruggia, Susan P.; Solomon, Bonnie J. – Studies in Higher Education, 2022
High school students' academic preparation (e.g. high school GPA, ACT composite score, AP credits earned) predicts and helps explain their academic performance at college. However, the effects of noncognitive factors on college success is less clear. This study examined the effects of adding high school students' (N = 2279) self-efficacy,…
Descriptors: High School Students, Student Characteristics, Predictor Variables, College Students
Adam Kenz – ProQuest LLC, 2021
The purpose of this study is to investigate how high school academic and non-academic factors are related to college readiness and performance in freshman-level mathematics and science courses and retention in STEM fields. High school academic indicators for college readiness will include performance in high school science and mathematics courses,…
Descriptors: College Freshmen, Predictor Variables, Academic Persistence, School Holding Power
Elaine M. Allensworth; Kallie Clark – Grantee Submission, 2020
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, while test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We find…
Descriptors: Grade Point Average, College Entrance Examinations, Predictor Variables, Academic Persistence
Elaine M. Allensworth; Kallie Clark – Educational Researcher, 2020
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, whereas test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We found…
Descriptors: Grade Point Average, College Entrance Examinations, Predictor Variables, Academic Persistence
Westrick, Paul A.; Schmidt, Frank L.; Le, Huy; Robbins, Steven B.; Radunzel, Justine M. R. – Educational Assessment, 2021
This meta-analytic path analysis presents evidence that first-year academic performance (FYAP), measured by first-year grade point average (FYGPA) plays the major role in determining second-year student retention and that socioeconomic status (SES), measured by parental income, plays a negligible role. Based on large sample data used in a previous…
Descriptors: Meta Analysis, Academic Achievement, Academic Persistence, Grade Point Average
Steedle, Jeffrey T. – ACT, Inc., 2019
The Global Assessment Certificate⢠(GAC) program helps international students develop the academic knowledge, learning practices, and English language skills required to enroll at universities and earn a bachelor's degree (ACT, 2019). The GAC program includes three levels of instruction (Level I, Level II, and Level III), each entailing a…
Descriptors: College Preparation, Foreign Students, Undergraduate Students, College Readiness
Galla, Brian M.; Shulman, Elizabeth P.; Plummer, Benjamin D.; Gardner, Margo; Hutt, Stephen J.; Goyer, J. Parker; D'Mello, Sidney K.; Finn, Amy S.; Duckworth, Angela L. – American Educational Research Journal, 2019
Compared with admissions test scores, why are high school grades better at predicting college graduation? We argue that success in college requires not only cognitive ability but also self-regulatory competencies that are better indexed by high school grades. In a national sample of 47,303 students who applied to college for the 2009/2010 academic…
Descriptors: Grades (Scholastic), Predictor Variables, Time to Degree, Scores
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Sage, Andrew J.; Cervato, Cinzia; Genschel, Ulrike; Ogilvie, Craig A. – Journal of College Student Retention: Research, Theory & Practice, 2021
Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…
Descriptors: Majors (Students), Identification, Student Satisfaction, At Risk Students
Radunzel, Justine – Journal of College Student Retention: Research, Theory & Practice, 2021
First-generation (FG) students are generally less likely than their continuing-generation (CG) peers to persist and complete a degree. Using student data available at initial enrollment, this multi-institutional study examines retention and transfer at the second year in relation to academic readiness, financial resources, college intentions,…
Descriptors: School Holding Power, Academic Persistence, Student Attrition, Dropout Rate
Adam C. Elder – ProQuest LLC, 2017
The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…
Descriptors: Predictor Variables, College Students, Academic Persistence, Models
Perkins-Holtsclaw, Kala Jenea – ProQuest LLC, 2018
As the United States struggles to be globally competitive with the number of students completing a college degree higher education leaders continue seeking answers to improving student retention and graduation rates. Decades of research has been conducted on investigating factors that impact student retention and graduation with the majority of…
Descriptors: Institutional Characteristics, College Students, Academic Persistence, Graduation Rate