Results 11 to 20 of about 21,112,499 (262)

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

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 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

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

Nonignorable Consequences of (Partially) Ignoring Missing Item Responses: Students Omit (Constructed Response) Items Due to a Lack of Knowledge

open access: yesKnowledge, 2023
In recent literature, alternative models for handling missing item responses in large-scale assessments have been proposed. Based on simulations and arguments based on psychometric test theory, it is argued in this literature that missing item responses ...
Alexander Robitzsch
doaj   +1 more source

Comparing item parameter estimates and fit statistics of the Rasch model from three different traditions

open access: yesJurnal Penelitian dan Evaluasi Pendidikan, 2020
Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences, including educational measurement.
Bahrul Hayat   +2 more
doaj   +1 more source

Forced Choice Assessment of Work Related Maladaptive Personality Traits: Preliminary Evidence from an Application of Thurstonian Item Response Modeling [PDF]

open access: yes, 2016
This article describes an investigation of whether Thurstonian item response modeling is a viable method for assessment of maladaptive traits. Forced-choice responses from 420 working adults to a broad-range personality inventory assessing six ...
Cooper, Andrew J.   +3 more
core   +1 more source

About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

open access: yesMathematics, 2021
This article shows that the recently proposed latent D-scoring model of Dimitrov is statistically equivalent to the two-parameter logistic item response model.
Alexander Robitzsch
doaj   +1 more source

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