Results 11 to 20 of about 20,299,108 (307)

Linking Item Response Model Parameters. [PDF]

open access: yesPsychometrika, 2016
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.
europepmc   +4 more sources

Erratum to: Linking Item Response Model Parameters. [PDF]

open access: yesPsychometrika, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van der Linden WJ, Barrett MD.
europepmc   +4 more sources

Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning

open access: yesStats, 2023
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
doaj   +1 more source

Polytomous Item Explanatory Item Response Theory Models [PDF]

open access: yesEducational and Psychological Measurement, 2019
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
openaire   +4 more sources

Review: Item Response Theory Models Analysis [PDF]

open access: yesمجلة العلوم التجارية والبيئية
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
doaj   +1 more source

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

open access: yesAppliedMath, 2023
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
doaj   +1 more source

Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models

open access: yesInternational Journal of Assessment Tools in Education, 2018
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
doaj   +3 more sources

Item Response Modeling of Forced-Choice Questionnaires [PDF]

open access: yes, 2011
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
core   +1 more source

Explanatory Item Response Models for Polytomous Item Responses

open access: yesInternational Journal of Assessment Tools in Education, 2019
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
openaire   +4 more sources

Item Response Modeling of Paired Comparison and Ranking Data [PDF]

open access: yes, 2010
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

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