Analysis of institutionally specific retention research: A comparison between survey and institutional database methods

Research in Higher Education

Volumn 48, Issue 4, 2007, Pages 435-451

  Caison, Amy L ^a,b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Information theory; Methodology; Model selection; Retention; Survey research

Indexed keywords

EID: 33847252482     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11162-006-9032-5     Document Type: Article

References (28)

1. Akaike, H. (1973). Information theory as an extension of the maximum likelihood principle. In: Petrov, B. N., and Csaki, F. (eds.), Second International Symposium on Information Theory, Akademiai Kiado, Budapest,.
2. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control AC 19: 716-723.
3. Antley, H.W. (1999). The development of a predictive model for one-year freshman retention rate: A macro-approach. A Paper Presented at the 39th Annual Forum of the Association for Institutional Research, Seattle, WA.
4. Astin, A. W. (1984). Student involvement: A developmental theory for higher education. Journal of College Student Personnel 25: 297-308.
5. Bean, J. P. (1985). Interaction effects based on class level in an explanatory model of college student dropout syndrome. American Educational Research Journal 22(1): 35-64.
6. Berger, J. B., and Braxton, J. M. (1998). Revising Tinto's interactionalist theory of student departure through theory elaboration: Examining the role of organizational attributes in the persistence process. Research in Higher Education 39(2): 103-119.
7. Berger, J. B., and Milem, J. F. (1999). The role of student involvement and perceptions of integration in a causal model of student persistence. Research in Higher Education 40(6): 641-664.
8. Burnham, K. P., and Anderson, D. R. (2002). Model Selection and Inference: A Practical Information-theoretical Approach, (2nd ed.), Springer-Verlag, New York, NY.
9. Cabrera, A. F., Nora, A., and Castaneda, M. A. (1993). College persistence: Structural equations modeling test of an integrated model of student retention. Journal of Higher Education 64(2): 123-139.
10. Durkheim, E. (1951). Suicide: A study in Sociology (J. A. Spaulding, G. Simpson, Trans.), The Free Press of Glenco, New York.
11. Horn, L.J., and Carroll, C.D. (1998). Stopouts or Stayouts? Undergraduates Who Leave College in Their First Year, (National Center for Education Statistics Statistical Analysis Report No. NCES 1999-087), US Department of Education Office of Educational Research and Improvement, Washington, DC.
12. Hosmer, D. W., and Lemeshow, S. (2000). Applied Logistic Regression, (2nd ed.), John Wiley & Sons, New York.
13. Knight, W.E. (2002). Toward a comprehensive model of influences upon time to bachelor's degree attainment (AIR Professional File No. 85), Association for Institutional Research, Tallahassee, FL.
14. Mallette, B. I., and Cabrera, A. F. (1991). Determinants of withdrawal behavior: An exploratory study. Research in Higher Education 32(2): 179-194.
15. Nelson, R. B, Scott, T. B., and Bryan, W. A. (1984). Precollege characteristics and early college experiences as predictors of freshman year persistence. Journal of College Student Personnel 25: 50-54.
16. Pascarella, E. T., and Chapman, D. (1983). A multi-institutional path analytical validation of Tinto's model of college withdrawal. American Educational Research Journal 20: 87-102.
17. Pascarella, E. T., and Terenzini, P. T. (1980). Predicting freshman persistence and voluntary dropout decisions from a theoretical model. Journal of Higher Education 51(1): 60-75.
18. Pascarella, E. T., and Terenzini, P. T. (1983). Predicting voluntary freshman year persistence/withdrawal behavior in a residential university: A path analytic validation of Tinto's model. Journal of Educational Psychology 75(2): 215-226.
19. Peng, C. Y. J., So, T. S. H., Stage, F. K, and St. John, E. P. (2002). The use and interpretation of logistic regression in higher education journals: 1988-1999. Research in Higher Education 43(3): 259-284.
20. Porter, S.R. (1999). Viewing one-year retention as a continuum: The use of dichotomous logistic regression, ordered logit, and multinomial logit. A Paper Presented at the 39th Annual Forum of the Association for Institutional Research, Seattle, WA.
21. Porter, S.R. (2002). Including transfer-out behavior in retention models: Using the NSC EnrollmentSearch Data. AIR Professional File, 82.
22. Terenzini, P. T., and Pascarella, E. T. (1980). Toward the validation of Tinto's model of college student attrition: A review of recent studies. Research in Higher Education 12(3): 271-282.
23. Terenzini, P. T., Lorang, W. G., and Pascarella, E. T. (1981). Predicting freshman persistence and voluntary dropout decisions: A replication. Research in Higher Education 15(2): 109-127.
24. Terkla, D. G. (1985). Does financial aid enhance undergraduate persistence?. Journal of Student Financial Aid 15(3): 11-18.
25. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research 45: 89-125.
26. Tinto, V. (1982). Limits of theory and practice in student attrition. Journal of Higher Education 53: 687-700.
27. Tinto, V. (1987). Leaving College: Rethinking the Causes and Cures of Student Attrition, The University of Chicago Press, Chicago.
28. Tinto, V. (1993). Leaving College: Rethinking the Causes and Cures of Student Attrition, (2nd ed.), The University of Chicago Press, Chicago.