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A response model for multiple choice items

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Abstract

We introduce an extended multivariate logistic response model for multiple choice items; this model includes several earlier proposals as special cases. The discussion includes a theoretical development of the model, a description of the relationship between the model and data, and a marginal maximum likelihood estimation scheme for the item parameters. Comparisons of the performance of different versions of the full model with more constrained forms corresponding to previous proposals are included, using likelihood ratio statistics and empirical data.

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References

  • Bock, R. D. (1972). Estimating item parameters and latent ability when the responses are scored in two or more nominal categories.Psychometrika, 37, 29–51.

    Google Scholar 

  • Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of anEM algorithm.Psychometrika, 46, 443–459.

    Article  Google Scholar 

  • Bock, R. D., & Lieberman, M. (1970). Fitting a response model forn dichotomously scored items.Psychometrika, 35, 179–197.

    Google Scholar 

  • Bock, R. D., & Mislevy, R. G. (1982, August) Applications of EAP estimation in computerized adaptive testing. Paper presented at the annual meeting of the Psychometric Society, Montreal, Canada.

  • Choppin, B. (1983).A two-parameter latent trait model. (CSE Report No. 197). Los Angeles: University of California, Center for the Study of Evaluation, Graduate School of Education.

    Google Scholar 

  • Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via theEM algorithm (with Discussion).Journal of the Royal Statistical Society, 39, (Series B) 1–38.

    Google Scholar 

  • Haberman, S. (1974).Subroutine MINIM [Computer program]. In R. D. Bock & Bruno Repp (Eds.)MATCAL: Double precision matrix operations subroutines for the IBM System 360/370 computers. Chicago: National Educational Resources.

    Google Scholar 

  • Levine, M. V., & Drasgow, F. (1983). The relation between incorrect option choice and estimated ability.Educational and Psychological Measurement, 43, 675–685.

    Google Scholar 

  • Lord, F. M. (1983). Maximum likelihood estimation of item response parameters when some responses are omitted.Psychometrika, 48, 477–482.

    Google Scholar 

  • Samejima, F. (1979).A new family of models for the multiple choice item. (Research Report No. 79-4) Knoxville: University of Tennessee, Department of Psychology.

    Google Scholar 

  • Sympson, J. B. (1983, June).A new IRT model for calibrating multiple choice items. Paper presented at the annual meeting of the Psychometric Society, Los Angeles, CA.

  • Thissen, D. (1976). Information in wrong responses to the Raven Progressive Matrices.Journal of Educational Measurement, 13, 201–214.

    Article  Google Scholar 

  • Thissen, D. (1982). Marginal maximum likelihood estimation for the one-parameter logistic model.Psychometrika, 47, 175–186.

    Google Scholar 

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This research was supported in part by ONR contract N00014-83-C-0283 to the University of Chicago, R, Darrell Bock, Principal Investigator, and AFHRL contract F41689-82-C-00020 to the Educational Testing Service, Howard Wainer, Principal Investigator. This project was facilitated by a sabbatical leave provided David Thissen by the University of Kansas, during which time some of this work was done with the Research Statistics Group of the Educational Testing Service. Conversations with Darrell Bock, Howard Wainer, Paul Holland, Frederic Lord, Donald Rubin, James Ramsay and Malcolm Ree have also been important and useful in shaping the research and its presentation here. While all those mentioned have helped us gain wisdom in these matters, any error that remains is, of course, our own.

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Thissen, D., Steinberg, L. A response model for multiple choice items. Psychometrika 49, 501–519 (1984). https://doi.org/10.1007/BF02302588

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  • DOI: https://doi.org/10.1007/BF02302588

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