A global information approach to computerized adaptive testing

Applied Psychological Measurement

Volumn 20, Issue 3, 1996, Pages 213-229

  Chang, Hua Hua ^a   Ying, Zhiliang ^b  

^a EDUCATIONAL TESTING SERVICE   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Computerized adaptive testing; Fisher information; Global information; Information surface; Item information; Item response theory; Kullback Leibler information; Local information; Test information

Indexed keywords

EID: 0038661880     PISSN: 01466216     EISSN: None     Source Type: Journal    
DOI: 10.1177/014662169602000303     Document Type: Article

References (28)

1. Billingsley, P. (1986). Probability and measure. New York: Wiley.
2. Chang, H.-H., & Stout, W. F. (1993). The asymptotic posterior normality of the latent trait in an IRT model. Psychometrika, 58, 37-52.
3. Chang, H.-H., & Ying, Z. (1996a). Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive tests. Manuscript submitted for publication.
4. Chang, H.-H., & Ying, Z. (1996b, June). Building a statistical foundation for computerized adaptive testing. Paper presented at the annual meeting of the Psychometric Society, Banff, Alberta, Canada.
5. Cheney, W., & Kincaid, D. (1985). Numerical mathematics and computing. Monterey CA: Brooks/Cole.
6. Cover, T. M., & Thomas, J. A. (1991). Elements of information theory. New York: Wiley.
7. Davey, T., & Parshall, C. G. (1995, April). New algorithms for item selection and exposure control with computerized adaptive testing. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
8. Fan, M., & Hsu, Y. (1995, June). The effect of ability estimation for polytomous CAT in different item selection procedures. Paper presented at the annual meeting of the Psychometric Society, Minneapolis MN.
9. Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer Nijhoff.
10. Johnson, E. G., & Carlson, J. E. (1994). The NAEP 1992 technical report. Washington DC: National Center of Education Statistics.
11. Kullback, S. (1959). Information theory and statistics. New York: Wiley.
12. Le Cam, L., & Yang, G. L. (1990). Asymptotics in statistics: Some basic concepts. New York: Springer-Verlag.
13. Lehmann, E. L. (1983). Theory of point estimation. New York: Wiley.
14. Lehmann, E. L. (1986). Testing statistical hypotheses. New York: Wiley.
15. Lord, M. F. (1971). Robbins-Monro procedures for tailored testing. Educational and Psychological Measurement, 31, 3-31.
16. Lord, M. F. (1980). Applications of item response theory to practical testing problems. Hillsdale NJ: Erlbaum.
17. Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading MA: Addison Wesley.
18. 1. Statistical Research Memorandum, 1, 1-37.
19. Owen, R. J. (1975). A Bayesian sequential procedure for quantal response in the context of adaptive mental testing. Journal of the American Statistical Association, 70, 351-356.
20. Samejima, F. (1973). A comment on Birnbaum's three-parameter logistic model in the latent trait theory. Psychometrika, 38, 221-233.
21. Serfling, R. J. (1980). Approximation theorems of mathematical statistics. New York: Wiley.
22. Stocking, M. L. (1993, February). Modern computerized adaptive testing. Paper presented at the Joint Statistics and Psychometrics Seminar, Princeton NJ.
23. van der Linden, W. J. (1995, June). Bayesian item selection in adaptive testing. Paper presented at the annual meeting of the Psychometric Society, Minneapolis MN.
24. Veerkamp, W. J., & Berger, M. P. F. (1994). Some new item selection criteria for adaptive testing (Research Rep. 94-6). Enschede, The Netherlands: University of Twente, Department of Educational Measurement and Data Analysis.
25. Wainer, H. (1990). Computerized adaptive testing: A primer. Hillsdale NJ: Erlbaum.
26. Weiss, D. J. (1976). Adaptive testing research in Minnesota: Overview, recent results, and future directions. In C. L. Clark (Ed.), Proceedings of the first conference on computerized adaptive testing (pp. 24-35). Washington DC: United States Civil Service Commission.
27. Weiss, D. J. (1982). Improving measurement quality and efficiency with adaptive testing. Applied Psychological Measurement, 6, 473-492.
28. Wingersky, M. S., Barton, M. A., & Lord, F. M. (1982). LOGIST user's guide [Computer program manual]. Princeton NJ: Educational Testing Service.