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General ability measurement: An application of multidimensional item response theory
Segall, Daniel - In: Psychometrika 66 (2001) 1, pp. 79-97
Persistent link: https://www.econbiz.de/10005381779
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Multidimensional adaptive testing
Segall, Daniel - In: Psychometrika 61 (1996) 2, pp. 331-354
Persistent link: https://www.econbiz.de/10005757948
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Loglinear multidimensional IRT models for polytomously scored items
Kelderman, Henk; Rijkes, Carl - In: Psychometrika 59 (1994) 2, pp. 149-176
Persistent link: https://www.econbiz.de/10005603091
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MCMC estimation and some model-fit analysis of multidimensional IRT models
Béguin, A.; Glas, C. - In: Psychometrika 66 (2001) 4, pp. 541-561
Persistent link: https://www.econbiz.de/10005603602
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A Two-Tier Full-Information Item Factor Analysis Model with Applications
Cai, Li - In: Psychometrika 75 (2010) 4, pp. 581-612
Persistent link: https://www.econbiz.de/10008775716
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A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis
Edwards, Michael - In: Psychometrika 75 (2010) 3, pp. 474-497
Persistent link: https://www.econbiz.de/10008674008
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The Interaction of Values and Validity Assessment: Does a Test's Level of Validity Depend on a Researcher's Values?
Reckase, Mark - In: Social Indicators Research 45 (1998) 1, pp. 45-54
Persistent link: https://www.econbiz.de/10009403541
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Generalizations of Paradoxical Results in Multidimensional Item Response Theory
Jordan, Pascal; Spiess, Martin - In: Psychometrika 77 (2012) 1, pp. 127-152
Persistent link: https://www.econbiz.de/10009400078
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Multidimensional CAT Item Selection Methods for Domain Scores and Composite Scores: Theory and Applications
Yao, Lihua - In: Psychometrika 77 (2012) 3, pp. 495-523
Persistent link: https://www.econbiz.de/10010558304
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Identifying corruption through latent class models: evidence from transition economies
Pieroni, Luca; d'Agostino, Giorgio; Bartolucci, Francesco - Volkswirtschaftliche Fakultät, … - 2013
Evaluation of corrupt activities is incrementally based on administration of questionnaires to firms in business, and generally involves a large number of items. Data collected by questionnaires of this type can be analyzed by Latent Class (LC) models in order to classify firms into homogeneous...
Persistent link: https://www.econbiz.de/10011108158