Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andersen, E. B. (1980). Discrete statistical models with social sciences applications. Amsterdam: North-Holland.
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick, Statistical theories of mental test scores (pp. 397–479). Reading, MA: Addison-Wesley.
Bock, R. D., & Mislevy, R. J. (1988). Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement, 6, 431–444.
Chang, H.-H., & Ying, Z. (1996). A global information approach to computerized adaptive testing. Applied Psychological Measurement, 20, 213–229.
Chang, H.-H., & Ying, Z. α-stratified multistage computerized adaptive testing. Applied Psychological Measurement, 23, 211–222.
Chang, H.-H., & Ying, Z. (in press). Nonlinear designs for logistic item response models with application in computerized adaptive tests. The Annals of Statistics.
Gelman, A., Carlin, J. B, Stern, H. S., & Rubin, D. B. (1995). Bayesian data analysis. London: Chapman & Hall.
Gulliksen, H. (1950). Theory of mental tests. Hillsdale, NJ: Erlbaum.
Lehmann, E. L., & Casella, G. (1998). Theory of point estimation. New York: Springer Verlag.
Lord, F. M. (1971). The self-scoring flexilevel test. Journal of Educational Measurement, 8, 147–151.
Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.
Lord, F. M. (1986). Maximum likelihood and Bayesian parameter estimation in item response theory. Journal of Educational Measurement, 23, 157–162.
Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
Mislevy, R. J. (1986). Bayes modal estimation in item response models. Psychometrika, 51, 177–195.
Mislevy, R. J., & Bock, R. D. (1983). BILOG: Item and test scoring with binary logistic models [Computer program and manual]. Mooresville, IN: Scientific Software.
Mislevy, R. J., & Wu, P.-K. (1988). Inferring examinee ability when some items response are missing (Research Report 88-48-ONR). Princeton, NJ: Educational Testing Service.
Owen, R. J. (1969). A Bayesian approach to tailored testing (Research Report 69-92). Princeton, NJ: Educational Testing Service.
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.
Rasch, G. Probabilistic models for some intelligence and attainment tests. Copenhagen: Denmarks Paedogogiske Institut.
Samejima, F. (1973). A comment on Birnbaum’s three-parameter logistic model in latent trait theory. Psychometrika, 38, 221–233.
Samejima, F. (1993). The bias function of the maximum-likelihood estimate of ability for the dichotomous response level. Psychometrika, 58, 195–210.
Schnipke, D. L., & Green, B. F. (1995). A comparison of item selection routines in linear and adaptive testing. Journal of Educational Measurement, 32, 227–242.
Segall, D. O. (1997). Equating the CAT-ASVAB. In W. A. Sands, B. K. Waters and J. R. McBride (Eds.), Computerized adaptive testing: From inquiry to operation (pp. 181–198). Washington, DC: American Psychological Association.
Stocking, M. L. (1996). An alternative method for scoring adaptive tests. Journal of Educational and Bahavioral Statistics, 21, 365–389.
Thissen, D., & Mislevy, R. J. (1990). Testing algorithms. In H. Wainer (Ed.), Computerized adaptive testing: A primer (pp. 103–134). Hillsdale, NJ: Lawrence Erlbaum.
Tsutakawa, R. K., & Johnson, C. (1990). The effect of uncertainty on item parameter estimation on ability estimates. Psychometrika, 55, 371–390.
van der Linden, W. J. (1998). Bayesian item-selection criteria for adaptive testing. Psychometrika, 62, 201–216.
van der Linden, W. J. (1999). A procedure for empirical initialization of the trait estimator in adaptive testing. Applied Psychological Measurement, 23, 21–29.
van der Linden, W. J., & Glas, C. A. W. (2000). Capitalization on item calibration in adaptive testing. Applied Measurement in Education, 13, 35–53.
van der Linden, W. J., & Glas, C. A. W. (submitted). Cross validating item parameter estimation in adaptive testing.
Veerkamp, W. J. J., & Berger, M. P. F. Item-selection criteria for adaptive testing. Journal of Educational and Behavioral Statistics, 22, 203–226.
Wainer, H., Lewis, C., Kaplan, B., & Braswell, J. (1991). Building algebra testlets: A comparison of hierarchical and linear structures. Journal of Educational Measurement, 28, 311–323.
Wang, T., Hanson, B. A., Lau, C.-M. A. (1999). Reducing bias in CAT trait estimation: A comparison of approaches. Applied Psychological Measurement, 23, 263–278.
Wang, T. &, Vispoel, W. P. (1998). Properties of ability estimation methods in computerized adaptive testing. Journal of Educational Measurement, 35, 109–135.
Warm, T. A. (1989). Weighted likelihood estimation of ability in item response theory with tests of finite length. Psychometrika, 54, 427–450.
Weiss, D. J. (1982). Improving measurement quality and efficiency with adaptive testing. Applied Psychological Measurement, 4, 473–285.
Weiss, D. J., & McBride, J. R. (1984). Bias and information of Bayesian adaptive testing. Applied Psychological Measurement, 8, 273–285.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Kluwer Academic Publishers
About this chapter
Cite this chapter
van der Linden, W.J., Pashley, P.J. (2000). Item Selection and Ability Estimation in Adaptive Testing. In: van der Linden, W.J., Glas, G.A. (eds) Computerized Adaptive Testing: Theory and Practice. Springer, Dordrecht. https://doi.org/10.1007/0-306-47531-6_1
Download citation
DOI: https://doi.org/10.1007/0-306-47531-6_1
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-6425-2
Online ISBN: 978-0-306-47531-3
eBook Packages: Springer Book Archive