Mixture Item Response Models
Mixture Item Response Model is a latent trait modeling framework within Bayesian item response theory that extends standard item response models by incorporating discrete subpopulations or latent classes, thereby allowing for heterogeneity in item response behavior through class-specific item parameters or trait distributions.
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4.5K
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2017–2026
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Mixture Irt Models
98
Bruce G. Lindsay, Clifford C. Clogg, John M. Grego · Journal of the American Statistical Association · 1991 · 283 citations
Finite Mixtures in Confirmatory Factor-Analysis Models
Yiu‐Fai Yung · Psychometrika · 1997 · 201 citations
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Vanderbilt University
Nashville, United States
10 h-index
13 publications
367 citations

University of Georgia
Athens, United States
7 h-index
14 publications
980 citations
Educational Testing Service
Princeton, United States
5 h-index
6 publications
363 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
6 publications
270 citations
KU Leuven
Leuven, Belgium
5 h-index
7 publications
274 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
8 publications
731 citations
University of Washington
Seattle, United States
4 h-index
4 publications
115 citations

Tilburg University
Tilburg, The Netherlands
4 h-index
4 publications
143 citations
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12 publications · 667 citations
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11 publications · 267 citations
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5 publications · 368 citations
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