ERIC Number: EJ1076274
Record Type: Journal
Publication Date: 2013-Aug
Abstractor: As Provided
Reference Count: 46
Using Data Known at the Time of Admission to Predict First-Generation College Student Success
D'Amico, Mark M.; Dika, Sandra L.
Journal of College Student Retention: Research, Theory & Practice, v15 n2 p173-192 Aug 2013
The authors use data known at the time of initial enrollment to explore the first-year GPAs and second-year retention of first-generation (FGCS) and non-first-generation (non-FGCS) college students. The setting was a diverse, public, urban doctoral institution (approximately 50% FGCS and 30% minority). Multiple linear and logistic regressions run separately for FGCSs and non-FGCSs, included variables related to financial, academic, integration, and demographic factors. While FGCSs had lower retention and significantly lower GPAs than non-FGCSs, the pattern of predictive factors varied by group. Greater academic preparation was significant in all analyses. Minority students were more likely to persist than White students. Out-of-state residency was a predictor of higher GPA, but also a predictor of FGCS attrition. The authors discuss the value of using data known upon admission and suggest future research to explore how institutional composition may influence FGCS success.
Descriptors: First Generation College Students, Success, Predictor Variables, Predictive Validity, Regression (Statistics), Management Information Systems, Student Records, Information Utilization, Barriers, Cultural Influences, College Environment, Academic Persistence, Grade Point Average, Educational Practices, College Freshmen
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A