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Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Wright-Kim, Jeremy; Perna, Laura W.; Ruiz, Roman – Journal of College Student Retention: Research, Theory & Practice, 2022
This study uses data from the Integrated Postsecondary Education Data System and Delta Cost Project to identify institutional predictors of bachelor's degree completion rates for Pell Grant recipients and nonrecipients at public and private not-for-profit 4-year institutions. Descriptive analyses show that Pell recipients are relatively…
Descriptors: Grants, Student Financial Aid, Predictor Variables, College Graduates
Premraj, Divya; Thompson, Ruthanne; Hughes, Lee; Adams, Joshua – Journal of College Student Retention: Research, Theory & Practice, 2021
In this study, we identified factors influencing completion rates (graduation) of undergraduate students in science, technology, engineering, and mathematics (STEM). We used hierarchical, logistic, and linear regression models to analyze the data and found significant predictor variable interactions across various underrepresented versus…
Descriptors: Academic Persistence, Influences, Graduation Rate, Undergraduate Students
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)
Heiny, Robert L.; Heiny, Erik L.; Raymond, Karen – Journal of College Student Retention: Research, Theory & Practice, 2017
Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…
Descriptors: College Freshmen, College Mathematics, Calculus, Student Placement
Barbera, Salvatore A.; Berkshire, Steven David; Boronat, Consuelo B.; Kennedy, Michael H. – Journal of College Student Retention: Research, Theory & Practice, 2020
A plethora of research spanning several decades has attempted to understand predictors of retention and graduation in undergraduate bachelor's degree programs. The topic is no less important today, as larger and larger swaths of the American population attend college each year. Studies have demonstrated that key demographic variables, indicators…
Descriptors: Undergraduate Students, Academic Persistence, Bachelors Degrees, Readiness
Rockinson-Szapkiw, Amanda J.; Bray, Oliver R., Jr.; Spaulding, Lucinda S. – Journal of College Student Retention: Research, Theory & Practice, 2014
This study examines how GRE scores can be used to better understand Education doctoral candidates' methodology choices for the dissertation as well as their persistence behaviors. Candidates' of one online doctoral education program were examined. Results of a MANOVA suggested that there is no difference in GRE scores based on doctoral candidates'…
Descriptors: Predictive Validity, Doctoral Programs, College Entrance Examinations, Success
Farmer, Errick D.; Hope, Warren C. – Journal of College Student Retention: Research, Theory & Practice, 2015
African American males face major challenges in retention and graduation from institutions of higher education. The 6-year graduation rate for African American males at 4-year public institutions and private nonprofit colleges is less than 40%. This figure suggests that persistence toward degree attainment is a problem. The purpose of this study…
Descriptors: African American Students, Males, Black Colleges, College Students
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
Chimka, Justin R.; Reed-Rhoads, Teri; Barker, Kash – Journal of College Student Retention: Research, Theory & Practice, 2008
Survival analysis is a statistical tool used to describe the duration between events. Many processes in medical research, engineering, and economics can be described using survival analysis techniques. This research involves studying engineering college student graduation using Cox proportional hazards models. Among male students with American…
Descriptors: Models, Academic Persistence, Undergraduate Study, Engineering
Wohlgemuth, Darin; Whalen, Don; Sullivan, Julia; Nading, Carolyn; Shelley, Mack; Wang, Yongyi (Rebecca) – Journal of College Student Retention: Research, Theory & Practice, 2007
Regression analysis was used to study retention and graduation for the fall 1996 entering class of students at a midwestern research extensive university (n = 3,610; 44% female, 8% minority, 77% in-state). Logistic regression was used to predict the likelihood of a student being retained for each of four years, and the outcome of graduation at the…
Descriptors: School Holding Power, Environmental Influences, Honors Curriculum, Graduation Rate

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