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Analysis of Institutionally Specific Retention Research: A Comparison between Survey and Institutional Database Methods
- Source :
-
Research in Higher Education . Jun 2007 48(4):435-451. - Publication Year :
- 2007
-
Abstract
- This study empirically explores the comparability of traditional survey-based retention research methodology with an alternative approach that relies on data commonly available in institutional student databases. Drawing on Tinto's [Tinto, V. (1993). "Leaving College: Rethinking the Causes and Cures of Student Attrition" (2nd Ed.), The University of Chicago Press, Chicago.] theory of student integration, this project utilizes an information-theoretic approach [Burnham, K. P., and Anderson, D. R. (2002). "Model Selection and Inference: A Practical Information-theoretical Approach" (2nd ed.), Springer-Verlag, New York, NY.], in which a set of candidate models was developed using institutional integration survey variables and variables drawn from institutional student databases. An information-theoretic approach to selecting the most parsimonious logistic regression model revealed that institutional database variables out-perform the institutional integration survey scales developed by Pascarella and Terenzini [Pascarella, E. T., and Terenzini, P. T. (1980). "Journal of Higher Education" 51(1): 60-75.] in predicting 1-year retention. This empirical support for the use of institutional database variables is valuable in conducting institution-specific retention research under constrained resources.
Details
- Language :
- English
- ISSN :
- 0361-0365
- Volume :
- 48
- Issue :
- 4
- Database :
- ERIC
- Journal :
- Research in Higher Education
- Publication Type :
- Academic Journal
- Accession number :
- EJ757782
- Document Type :
- Journal Articles<br />Reports - Evaluative
- Full Text :
- https://doi.org/10.1007/s11162-006-9032-5