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Linking Item Response Model Parameters. [PDF]
With a few exceptions, the problem of linking item response model parameters from different item calibrations has been conceptualized as an instance of the problem of test equating scores on different test forms. This paper argues, however, that the use of item response models does not require any test score equating. Instead, it involves the necessity
van der Linden WJ, Barrett MD.
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Erratum to: Linking Item Response Model Parameters. [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van der Linden WJ, Barrett MD.
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In the social sciences, the performance of two groups is frequently compared based on a cognitive test involving binary items. Item response models are often utilized for comparing the two groups.
Alexander Robitzsch
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Polytomous Item Explanatory Item Response Theory Models [PDF]
This study investigates polytomous item explanatory item response theory models under the multivariate generalized linear mixed modeling framework, using the linear logistic test model approach. Building on the original ideas of the many-facet Rasch model and the linear partial credit model, a polytomous Rasch model is extended to the item location ...
Kim, Jinho, Wilson, Mark
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Review: Item Response Theory Models Analysis [PDF]
This review paper provides a comprehensive overview of Item Response Theory (IRT), its fundamental concepts in the 1940s, major models, practical applications, and recent developments, and its current status as a cornerstone of modern analysis across ...
Ahmed A. Elsheikh, Heba M Saidelahl
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Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
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Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models
Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
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Item Response Modeling of Forced-Choice Questionnaires [PDF]
Multidimensional forced-choice formats can significantly reduce the impact of numerous response biases typically associated with rating scales. However, if scored with classical methodology, these questionnaires produce ipsative data, which lead to ...
Alberto Maydeu-Olivares +3 more
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Explanatory Item Response Models for Polytomous Item Responses
Item response theory is a widely used framework for the design, scoring, and scaling of measurement instruments. Item response models are typically used for dichotomously scored questions that have only two score points (e.g., multiple-choice items).
Luke STANKE, Okan BULUT
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Item Response Modeling of Paired Comparison and Ranking Data [PDF]
The comparative format used in ranking and paired comparisons tasks can significantly reduce the impact of uniform response biases typically associated with rating scales.
Alberto Maydeu-Olivares +3 more
core +1 more source

