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Jamie J. White – ProQuest LLC, 2020
The purpose of this study was to examine the predictability of selected cognitive and non-cognitive factors on the academic achievement of first-year college students. Data were collected from over 150 freshman students enrolled at a Historically Black College and University located in the southern region of the United States. Data were examined…
Descriptors: College Freshmen, Black Colleges, Predictor Variables, Grade Point Average
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
Holzman, Brian; Hanson, Vansa Shewakramani – Houston Education Research Consortium, 2020
Free Application for Federal Student Aid (FAFSA) verification and its role in summer melt is examined in this brief. "Summer melt" is when high school seniors who appear ready to go to college the fall following graduation do not enroll. The study revealed one-third of Houston Independent School District (HISD) college-intending students…
Descriptors: Federal Aid, Student Financial Aid, College Attendance, Intention
Williams, Raunda; Smiley, Ellen; Davis, Ronnie; Lamb, Teryana – Journal of Negro Education, 2018
The purpose of this study was to examine the predictability of selected cognitive and non-cognitive factors on retention. Data was collected from 822 first-time-freshmen college students at a four-year institution of higher learning. The material was analyzed using specific predictors of Fall 2012 to Spring 2013 retention. These cognitive and…
Descriptors: Predictor Variables, School Holding Power, College Freshmen, Student College Relationship
Slim, Ahmad; Hush, Don; Ojah, Tushar; Babbitt, Terry – International Educational Data Mining Society, 2018
Colleges are increasingly interested in identifying the factors that maximize their enrollment. These factors allow enrollment management administrators to identify the applicants who have higher tendency to enroll at their institutions and accordingly to better allocate their money rewards (i.e., scholarship and financial aid). In this paper we…
Descriptors: Enrollment Trends, College Students, Student Characteristics, Institutional Characteristics
Cartledge, Barbara H.; Baldwin, Mary Sue; Persall, J. Maurice; Woolley, Tom W. – Journal of Academic Administration in Higher Education, 2015
The purpose of this study was to determine the predictors of African-American enrollment at a private college. After a thorough literature review of college choice models, a set of quantitatively measured determinants were gleaned and identified for the statistical research and treatment. The set of predictors included high school grade point…
Descriptors: School Choice, African American Students, College Students, Private Colleges
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
Frye, Bobbie Jean – ProQuest LLC, 2014
Traditionally, modeling student retention has been done by deriving student success predictors and measuring the likelihood of success based on several background factors such as age, race, gender, and other pre-college variables, also known as the input-output model. Increasingly, however, researchers have used mediating factors of the student…
Descriptors: Scores, Two Year College Students, Academic Persistence, Developmental Studies Programs
Kirby, Elizabeth; White, Samantha; Aruguete, Mara – College Student Journal, 2007
This study examines predictors of academic success in a private women's college. We investigated academic factors (e.g., high school grade point average, standardized test scores) and socioeconomic status (e.g., parents' occupation, need for financial aid) as possible predictors of academic success among White and non-White students. Data was…
Descriptors: Class Rank, Grade Point Average, Females, Standardized Tests

Pedrini, Bonnie C.; Pedrini, D. T. – Psychology: A Journal of Human Behavior, 1988
Studied American College Test (ACT) scores, sex, race, financial aid, and attrition/persistence as predictors of grades for college freshmen (N=208). Found for grade average predictions with attrition/persistence excluded, ACT or race was the first variable. Other stepwise predictors were generally not viable. (Author/ABL)
Descriptors: College Freshmen, Disadvantaged Youth, Economically Disadvantaged, Grade Point Average
Morris, Libby V.; Wu, Sz-Shyan; Finnegan, Catherine L. – American Journal of Distance Education, 2005
A classification rule was developed to predict undergraduate students' withdrawal from or completion of fully online general education courses. A multivariate technique, predictive discriminant analysis (PDA), was used. High school grade point average and SAT mathematics score were shown to be related to retention in the online university courses.…
Descriptors: School Holding Power, General Education, Undergraduate Students, Grade Point Average
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