ANALYSIS OF INSTITUTIONALLY SPECIFIC RETENTION RESEARCH: A Comparison Between Survey and Institutional Database Methods |
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Authors: | Amy L Caison |
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Institution: | (1) Department of Adult and Higher Education, North Carolina State University, Raleigh, NC, Canada;(2) Memorial University of Newfoundland, Level 1, Room 1780, 300 Prince Philip Dr., St. John’s, NL, A1B 3V6, Canada |
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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. |
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Keywords: | retention methodology survey research information theory model selection |
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