Literaturnachweis - Detailanzeige
| Autor/inn/en | Crisp, Gloria; Reyes, Nicole Alia Salis; Doran, Erin |
|---|---|
| Titel | Predicting Graduation Rates at Four-Year Broad Access Institutions Using a Bayesian Modeling Approach |
| Quelle | (2016), (37 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Graduation Rate; Open Enrollment; Colleges; College Students; Bayesian Statistics; Statistical Analysis; Institutional Characteristics; Student Characteristics; Educational Finance; Hispanic American Students; African American Students; Predictor Variables |
| Abstract | This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates. A Bayesian model averaging approach is utilized to account for uncertainty in variable selection in modeling graduation rates. Evidence suggests that graduation rates can be predicted by religious affiliation, proportion of students enrolled full-time, socioeconomic status of the student body, enrollment size and to a lesser extent, institutional revenue and spending. Findings also demonstrate that a limited, and somewhat different group of variables serve to support or hinder institutional graduation rates for Latina/o and African American students. We conclude with implications for policy and key recommendations for research focused on 4-year BAIs. (As Provided). |
| Anmerkungen | AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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