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Autor/inn/enLichtenberger, Eric; Witt, M. Allison; Blankenberger, Bob; Franklin, Doug
TitelDual Credit/Dual Enrollment and Data Driven Policy Implementation
QuelleIn: Community College Journal of Research and Practice, 38 (2014) 11, S.959-979 (21 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1066-8926
DOI10.1080/10668926.2013.790305
SchlagwörterDual Enrollment; College Credits; Community Colleges; Statistical Analysis; Probability; Regression (Statistics); Models; Correlation; College Attendance; High School Students; State Legislation; Educational Legislation; Educational History; Policy Formation; Predictor Variables; Data; Illinois
AbstractThe use of dual credit has been expanding rapidly. Dual credit is a college course taken by a high school student for which both college and high school credit is given. Previous studies provided limited quantitative evidence that dual credit/dual enrollment is directly connected to positive student outcomes. In this study, predictive statistics were calculated using the generalized linear mixed model function in SPSS. For the final analysis, a two-level, propensity score weighted, multinomial logistic regression model was developed. Findings of this study are that even after controlling for selection bias, variation across high schools, and several education and socioeconomic status variables, dual credit/dual enrollment was significantly related to increased odds of enrolling at both four-year institutions and community colleges upon high school graduation. The opportunity presented by dual credit expansion and related policy recommendations are explored within the state and federal completion agenda context. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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