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Items Bundles

Published online by Cambridge University Press:  01 January 2025

Paul R. Rosenbaum*
Affiliation:
University of Pennsylvania
*
Requests for reprints should be sent to Paul R. Rosenbaum, Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104-6302.

Abstract

An item bundle is a small group of multiple choice items that share a common reading passage or graph, or a small group of matching items that share distractors. Item bundles are easily identified by paging through a copy of a test. Bundled items may violate the latent conditional independence assumption of unidimensional item response theory (IRT), but such a violation would not typically suggest the existence of a new fundamental human ability to read one specific reading passage or to interpret one specific graph. It is important, therefore, to have theoretical concepts and empirical checks that distinguish between, on the one hand, anticipated violations of latent conditional independence within item bundles, and, on the other hand, violations that cannot be attributed to idiosyncratic features of test format and instead suggest departures from unidimensionalty. To this end, two theorems on unidimensional IRT are extended to describe observable item response distributions when there is conditional independence between but not necessarily within item bundles.

Type
Article
Copyright
Copyright © 1988 The Psychometric Society

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Footnotes

The author is grateful to Ivo Molenaar and the referees for many helpful suggestions, and to D. Thayer for assistance with computing.

References

Bock, D., & Lieberman, M. (1970). Fitting a response model forn dichotomously scored items. Psychometrika, 35, 179197.CrossRefGoogle Scholar
Dawid, A. P. (1979). Conditional independence in statistical theory (with discussion). Journal of the Royal Statistical Society, Series B, 41, 131.CrossRefGoogle Scholar
Esary, J., Proschan, F., & Walkup, D. (1967). Association of random variables, with applications. Annals of Mathematical Statistics, 38, 14661474.CrossRefGoogle Scholar
Holland, P. (1981). When are item response models consistent with observed data?. Psychometrika, 46, 7992.CrossRefGoogle Scholar
Holland, P., & Rosenbaum, P. (1986). Conditional association and unidimensionality in monotone latent variable models. Annals of Statistics, 14, 15231543.CrossRefGoogle Scholar
Kamae, T., Krengel, U., & O'Brien, G. (1977). Stochastic inequalities on partially ordered spaces. Annals of Probability, 5, 899912.CrossRefGoogle Scholar
Lord, F. (1977). A study of item bias, using item characteristic curve theory. In Poortings, Y. H. (Eds.), Basic problems in cross-cultural psychology (pp. 1929). Amsterdam: Swets and Zeitlinger.Google Scholar
Lord, F. (1980). Applications of item response theory to practical testing problems, Hillsdale, NJ: Erlbaum.Google Scholar
Lord, F., & Novick, M. (1968). Statistical theories of mental test scores, Reading, MA: Addison-Wesley.Google Scholar
Miller, R. (1981). Simultaneous statistical inference, New York: Spring-Verlag.CrossRefGoogle Scholar
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests, Copenhagen: Neilson and Lydiche.Google Scholar
Rosenbaum, P. (1984). Testing the conditional independence and monotonicity assumptions of item response theory. Psychometrika, 49, 425435.CrossRefGoogle Scholar
Rosenbaum, P. (1985). Comparing distributions of item responses for two groups. British Journal of Mathematical and Statistical Psychology, 38, 206215.CrossRefGoogle Scholar
Rosenbaum, P. (1987). Model-based direct adjustment. Journal of the American Statistical Association, 82, 387394.CrossRefGoogle Scholar
Sternberg, R. J. (1977). Information processing and analogical reasoning: The componential analysis of human abilities, Hillsdale, NJ: Erlbaum.Google Scholar