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Bicak, Ibrahim; Schudde, Lauren; Flores, Kristina – Research in Higher Education, 2023
Delays in meeting math requirements can impede the progress among community college students who aspire to earn a baccalaureate degree. To investigate this issue, we used state administrative data from Texas to examine the prevalence and predictors of math course repetition and how math course repetition predicts transfer students' outcomes. More…
Descriptors: Predictor Variables, Mathematics Education, Repetition, Courses
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Chen, Yu; Hu, Xiaodan – Research in Higher Education, 2021
Community college near-completion students are community college starters who have accumulated a considerable number of credits but left college without any postsecondary educational credential. This quantitative study examined a nationally representative sample and intended to reveal significant predictors of becoming a community college…
Descriptors: Community Colleges, Two Year College Students, College Credits, Dropout Characteristics
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Carpenter, Dick M., II; Kaka, Sarah J.; Tygret, Jennifer A.; Cathcart, Katy – Research in Higher Education, 2018
This study examines the efficacy of a scholarship program designed to assist single parent, post-freshmen, full time undergraduate students and predictors of success among a sample of said students, where success is defined as progress toward completion, academic achievement, and degree completion. Results of fixed effects regression and…
Descriptors: Scholarship, One Parent Family, Undergraduate Students, Hierarchical Linear Modeling
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Bivin, David; Rooney, Patrick Michael – Research in Higher Education, 1999
This study used Tobit analysis to estimate retention probabilities and credit hours at two universities. Tobit was judged as appropriate for this problem because it recognizes the lower bound of zero on credit hours and incorporates this bound into parameter estimates and forecasts. Models are estimated for credit hours in a single year and…
Descriptors: Academic Persistence, College Credits, Dropout Research, Dropouts
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Easton, John Q.; Guskey, Thomas R. – Research in Higher Education, 1983
The variance in earned credit rates in an urban community college system was examined. An ANOVA design was employed to estimate the effects of four variables: college, department, course, and teacher. The results of the analysis indicate significant effects on earned credit rates due to college, department, and teacher. (Author/MLW)
Descriptors: Academic Achievement, College Credits, Colleges, Community Colleges