Termination criteria for computerized classification testing

Practical Assessment, Research and Evaluation

Volumn 16, Issue 4, 2011, Pages 1-7

  Thompson, Nathan A ^a  

^a Assessment Systems Corporation   (United States)

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[No Author keywords available]

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EID: 84859017602     PISSN: None     EISSN: 15317714     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Baker, F.B., & Kim, S.-H. (2004). Item response theory: Parameter estimation techniques. Monticello, New York: Marcel-Dekker.
2. Bartroff, J., Finkelman, M. & Lai, T.L. (2008). Modern sequential analysis and its applications to computerized adaptive testing. Psychometrika, 73, 473-486.
3. Eggen, T. J. H. M. (1999). Item selection in adaptive testing with the sequential probability ratio test. Applied Psychological Measurement, 23, 249-261.
4. Eggen, T. J. H. M, & Straetmans, G. J. J. M. (2000). Computerized adaptive testing for classifying examinees into three categories. Educational and Psychological Measurement, 60, 713-734.
5. Embretson, S.E., & Reise, S.P. (2000). Item response theory for psychologists. Mahwah, NJ: Erlbaum.
6. Frick, T. (1992). Computerized adaptive mastery tests as expert systems. Journal of Educational Computing Research, 8(2), 187-213.
7. Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: principles and applications. Norwell, MA: Kluwer Academic Publishers.
8. Huang, W. (2004). Stepwise likelihood ratio statistics in sequential studies. Journal of the Royal Statistical Society, 66, 401-409.
9. Kingsbury, G.G., & Weiss, D.J. (1983). A comparison of IRT-based adaptive mastery testing and a sequential mastery testing procedure. In D. J. Weiss (Ed.), New horizons in testing: Latent trait theory and computerized adaptive testing (pp. 237-254). New York: Academic Press.
10. Parshall, C.G., Spray, J.A., Kalohn, J.C., Davey, T. (2002). Practical considerations in computer-based testing. New York: Springer.
11. Reckase, M. D. (1983). A procedure for decision making using tailored testing. In D. J. Weiss (Ed.), New horizons in testing: Latent trait theory and computerized adaptive testing (pp. 237-254). New York: Academic Press.
12. Rudner, L. M. (2002). An examination of decision-theory adaptive testing procedures. Paper presented at the annual meeting of the American Educational Research Association, April 1-5, 2002, New Orleans, LA.
13. Rudner, L. M. and Guo, F.M. (in press) Computer adaptive testing for small scale programs and instructional systems. Journal of Applied Testing Technology.
14. Spray, J. A., & Reckase, M. D. (1996). Comparison of SPRT and sequential Bayes procedures for classifying examinees into two categories using a computerized test. Journal of Educational & Behavioral Statistics, 21, 405-414.
15. Thompson, N.A. (2009a). Utilizing the generalized likelihood ratio as a termination criterion. Paper presented at the 2009 GMAC Conference on Computerized Adaptive Testing, Minneapolis, MN.
16. Thompson, N.A. (2009b). Item selection in computerized classification testing. Educational and Psychological Measurement, 69, 778-793.
17. Wald, A. (1947). Sequential analysis. New York: Wiley
18. Weiss, D. J., & Kingsbury, G. G. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21, 361-375.
19. Weitzman, R. A. (1982). Sequential testing for selection. Applied Psychological Measurement, 6, 337-351.