Nested Logit Models for Multiple-Choice Item Response Data
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DOI: 10.1007/s11336-010-9163-7
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References listed on IDEAS
- R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
- David Thissen & Lynne Steinberg, 1986. "A taxonomy of item response models," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 567-577, December.
- Thomas Love, 1997. "Distractor selection ratios," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 51-62, March.
- Javier Revuelta, 2005. "An Item Response Model for Nominal Data Based on the Rising Selection Ratios Criterion," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 305-324, June.
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Cited by:
- Anne Thissen-Roe & David Thissen, 2013. "A Two-Decision Model for Responses to Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 38(5), pages 522-547, October.
- Daniel Bolt & James Wollack & Youngsuk Suh, 2012. "Application of a Multidimensional Nested Logit Model to Multiple-Choice Test Items," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 339-357, April.
- Gerhard Tutz & Moritz Berger, 2016. "Response Styles in Rating Scales," Journal of Educational and Behavioral Statistics, , vol. 41(3), pages 239-268, June.
- Ulf Böckenholt, 2012. "The Cognitive-Miser Response Model: Testing for Intuitive and Deliberate Reasoning," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 388-399, April.
- Myszkowski, Nils & Storme, Martin, 2018. "A snapshot of g? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS)," Intelligence, Elsevier, vol. 68(C), pages 109-116.
- Chalmers, R. Philip, 2016. "Generating Adaptive and Non-Adaptive Test Interfaces for Multidimensional Item Response Theory Applications," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i05).
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Keywords
Multiple-choice items; multiple-choice models; nested logit models; nominal response model; marginal maximum likelihood estimation; item information; distractor selection information; distractor category collapsibility;All these keywords.
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