Owen's (1969) Bayesian tailored testing method is introduced along with a brief review of its deriva tion. The characteristics of a good item bank are outlined and explored in terms of their influence on the Bayesian tailoring process. The results clearly demonstrate importance of a good item bank; one having a sufficient number of items with high dis crimination, low guessing probability, and a uniform distribution of difficulty.
Get full access to this article
View all access options for this article.
References
1.
Jensema, C.J.An application of latent trait mental test theory to the Washington pre-college testing battery. Unpublished doctoral dissertation. University of Washington, 1972.
2.
Jensema, C.J.An application of latent trait mental test theory. Br. J. Math. Statist. Psychol.27, 1974 a, 29-48.
3.
Jensema, C.J.The validity of Bayesian tailored testing. Ed. and Psychol. Meas.34, 1974b, 757-766.
4.
Lord, F.M. and Novick, M.R.Statistical theories of mental test scores. Reading, Mass. : Addison-Wesley, 1968.
5.
Owen, R. J.A Bayesian approach to tailored testing. Res. Bull. 69-92. Princeton, N. J.: Educational Testing Service , 1969.
6.
Urry, V.W.A Monte-Carlo investigation of logistic mental test models. Unpublished doctoral dissertation. Purdue University, 1970 .
7.
Urry, V.W.Approximation methods for the item parameters of mental test models. Res. Bull. 0871-202. Seattle: University of Washington, Bureau of Testing , 1971 a.
8.
Urry, V.W.Individualized testing by Bayesian estimation. Res. Bull. 0171-177. Seattle: University of Washington, Bureau of Testing . 1971b.
9.
Urry, V.W.Approximations of item parameters of mental test models and their uses. Ed. and Psychol. Meas., 34, 1974 , 253-269.
