Results 11 to 20 of about 1,237 (160)
Using Item Response Theory Models in Scaling Severity Scores in Alcohol Research-A Tutorial. [PDF]
Drug Alcohol RevABSTRACT Introduction Questionnaires are frequently used in the assessment of drug and alcohol dependence. Methods Typically, sum scores are used for aggregation, which come with several underlying assumptions. If untested psychometrically, the reliability and sufficiency of a sum score as a measure of the characteristic of interest remain unclear.
Schulze D +3 more
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Item and Test Characteristic Curves of Rank-2PL Models for Multidimensional Forced-Choice Questionnaires. [PDF]
Appl Meas EducFu J, Tan X, Kyllonen PC.
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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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Large-scale Assessments in Education, 2023 One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment.
Alexander Robitzsch, Oliver Lüdtke
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Examining the relation of correct knowledge and misconceptions using the nominal response model
Physical Review Physics Education Research, 2021 This study reports an analysis of the Force Concept Inventory (FCI) using item response curves (IRC)—the fraction of students selecting each response to an item as a function of their total score.
John Stewart +7 more
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