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Thierry, Jacqueline Ann – ProQuest LLC, 2023
The purpose of this quantitative correlational-predictive study was to determine if and to what extent students' Cognitive Ability, first-term GPA, and ethnicity predict student graduation status from a CTE college in Texas. Student retention rates continue to be a cause for great concern for higher learning, even more so for CTE institutions.…
Descriptors: Cognitive Ability, Grade Point Average, Graduation, Ethnicity
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Gipson, John A. – ProQuest LLC, 2018
Despite the overwhelming evidence that higher education data are nested at various levels, single-level techniques such as regression and analysis of variance are commonly used to investigate student outcomes. This is problematic as a mismatch in methodology and research questions can lead to biased parameter estimates. The purpose of this study…
Descriptors: Predictor Variables, Graduation, Grade Point Average, Majors (Students)
Catalina Morales Lema – ProQuest LLC, 2024
In this dissertation, I use data from Chile to study the determinants of schooling trajectories. Chapters 1 and 2 focus on higher education, Chapter 3 on secondary education, and Chapter 4 on teachers. Chapter 1 explores the role of a socio-emotional ability, self-efficacy, in understanding why students with comparable qualifications transit…
Descriptors: Economics, Foreign Countries, Higher Education, Secondary Education
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Chatterjee, Ayona; Marachi, Christine; Natekar, Shruti; Rai, Chinki; Yeung, Fanny – College Student Journal, 2018
Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…
Descriptors: Regression (Statistics), Student Characteristics, Graduation, Probability
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Bowman, Nicholas A.; Culver, KC – Research in Higher Education, 2018
Many people within and outside of higher education view honors programs as providing meaningful academic experiences that promote learning and growth for high-achieving students. To date, the research exploring the link between honors participation and college grades and retention has obtained mixed results; some of the seemingly conflicting…
Descriptors: Honors Curriculum, Academic Achievement, Probability, Undergraduate Students
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Schifter, Laura A. – Exceptional Children, 2016
This study examined when students with disabilities graduated high school and how graduation patterns differed for students based on selected demographic and educational factors. Utilizing statewide data on students with disabilities from Massachusetts from 2005 through 2012, the author conducted discrete-time survival analysis to estimate the…
Descriptors: Disabilities, Graduation, High School Graduates, Demography
Okpych, Nathanael J.; Courtney, Mark E.; Dennis, Kristin – Chapin Hall at the University of Chicago, 2017
Finishing high school and attaining a college degree have become increasingly important to finding stable employment and earning a living wage. By age 19, most youth in the US have earned a high school credential and many have entered college. However, the educational attainment of young people who were in foster care as adolescents lags behind…
Descriptors: High School Students, High School Graduates, Graduation, Influences
Goldhaber, Dan; Cowan, James; Long, Mark; Huntington-Klein, Nick – Center for Education Data & Research, 2015
Students are typically given a large amount of freedom to choose the level of "curricular dispersion": the tight focus or lack thereof in the courses they elect to take while in college. There is little evidence about what predicts students' curricular dispersion, whether it affects later college or labor force outcomes, or, in fact, how…
Descriptors: Course Selection (Students), College Students, Predictor Variables, Correlation
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Rosenbaum, Janet E. – Community College Review, 2018
Objective: Colleges have increased postsecondary educational access for youth, including individuals with disabilities, but completion rates remain low. This study tests the hypothesis that health conditions that reduce social integration predict lower educational attainment among college students. Method: The sample from the nationally…
Descriptors: Disabilities, Physical Disabilities, Hearing Impairments, Visual Impairments
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Morrison, Michael C. – Journal of College Student Retention: Research, Theory & Practice, 2013
Graduation outcomes are analyzed at public and private baccalaureate colleges and universities in the United States. The purpose is to determine the effect of institutional characteristics on a binary indicator of college graduation. The effect of the percentage of Pell grant recipients on graduation outcomes is of primary interest, controlling…
Descriptors: Grants, Private Colleges, Institutional Characteristics, Universities
Johnson, Michael H. – ProQuest LLC, 2012
This mixed-methodological study explored the factors that predict a student's likelihood to complete an undergraduate program in a STEM discipline at one campus reliant upon that mission. Offered in response to a national imperative for the U.S. to compete globally, researchers contend educators must better prepare a STEM foundation and inspire…
Descriptors: Academic Persistence, Mixed Methods Research, Probability, Undergraduate Study
Ousley, Chris – ProQuest LLC, 2010
This study sought to provide empirical evidence regarding the use of spatial analysis in enrollment management to predict persistence and graduation. The research utilized data from the 2000 U.S. Census and applicant records from The University of Arizona to study the spatial distributions of enrollments. Based on the initial results, stepwise…
Descriptors: Geographic Information Systems, Evidence, Census Figures, Data Analysis
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Cook, Marlene M.; Swanson, Austin – Research in Higher Education, 1978
Focus is on two areas: (1) the factors available to the selection committee when students apply for admission into graduate programs, and (2) those factors emerging after admission, resulting from students' meeting program-imposed requirements for graduation. Program variables are shown to be more important than admission variables. (Author/LBH)
Descriptors: Admission Criteria, Doctoral Programs, Factor Analysis, Graduate Students