Results 11 to 20 of about 1,270 (156)
InformationThe two-parameter logistic (2PL) item response model is typically estimated using an unbounded distribution for the trait θ. In this article, alternative specifications of the 2PL models are investigated that consider a bounded or a positively valued θ ...
Alexander Robitzsch
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An Introduction to the DA-T Gibbs Sampler for the Two-Parameter Logistic (2PL) Model and Beyond
Psicológica, 2005 The DA-T Gibbs sampler is proposed by Maris and Maris (2002) as a Bayesian estimation method for a wide variety of Item Response Theory (IRT) models.
Gunter Maris, Timo M. Bechger
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Examining and Improving the Gender and Language DIF in the VERA 8 Tests
Psych, 2022 The purpose of this study was to examine and improve differential item functioning (DIF) across gender and language groups in the VERA 8 tests. We used multigroup concurrent calibration with full and partial invariance based on the Rasch and two ...
Güler Yavuz Temel +3 more
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Information Functions of Rank‐2PL Models for Forced‐Choice Questionnaires
Journal of Educational Measurement, 2023 AbstractThis paper presents the item and test information functions of the Rank two‐parameter logistic models (Rank‐2PLM) for items with two (pair) and three (triplet) statements in forced‐choice questionnaires. The Rank‐2PLM model for pairs is the MUPP‐2PLM (Multi‐Unidimensional Pairwise Preference) and, for triplets, is the Triplet‐2PLM.
Jianbin Fu +2 more
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Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models [PDF]
Educational and Psychological Measurement, 2018 M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter.
Debelak, Rudolf, Strobl, Carolin
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International Journal of Assessment Tools in Education, 2022 This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions.
Hakan Yavuz Atar +1 more
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Estimating Item Parameters and Student Abilities: An IRT 2PL Analysis of Mathematics Examination
Al-Ishlah: Jurnal Pendidikan, 2022 This research aims to describe the characteristics of math test instruments are tested on 373 of 10th-grade vocational high school students and to describe student abilities.
Jumini Jumini, Heri Retnawati
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2PL Model: Compare Generalized Linear Mixed Model with Latent Variable Model based IRT framework
, 2021 Fitting item response theory (IRT) models using the generalized mixed logistic regression model (GLMM) has become more popular in large-scale assessment because GLMM allows combining complicated multilevel structures (i.e., students are nested in classrooms which are nested in schools) with IRT measurement models.
Jihong Zhang, Terry Ackerman, Yurou Wang
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Item parameter recovery via traditional 2PL, Testlet and Bi-factor models for Testlet-Based tests
International Journal of Assessment Tools in Education, 2022 The testlet comprises a set of items based on a common stimulus. When the testlet is used in the tests, there may violate the local independence assumption, and in this case, it would not be appropriate to use traditional item response theory models in the tests in which the testlet is included. When the testlet is discussed, one of the most frequently
Sümeyra SOYSAL, Esin YILMAZ KOĞAR
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Anales de Psicologia, 2017 Multiple-choice items are wildly used in psychological and educational test. The present study investigated that if a multiple-choice item have an advantage over a dichotomous item on ability or latent trait evaluation.
Liu Tour, Wang Mengcheng, Xin Tao
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