Linking Error in the 2PL Model
J, 2023 The two-parameter logistic (2PL) item response model is likely the most frequently applied item response model for analyzing dichotomous data. Linking errors quantify the variability in means or standard deviations due to the choice of items.
Alexander Robitzsch
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Flexibility at the Price of Volatility: Concurrent Calibration in Multistage Tests in Practice Using a 2PL Model [PDF]
Frontiers in Education, 2021 Multistage test (MST) designs promise efficient student ability estimates, an indispensable asset for individual diagnostics in high-stakes educational assessments.
Laura A. Helbling +2 more
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Pairwise Likelihood Estimation of the 2PL Model with Locally Dependent Item Responses
Applied SciencesThe local independence assumption is crucial for the consistent estimation of item parameters in item response theory models. This article explores a pairwise likelihood estimation approach for the two-parameter logistic (2PL) model that treats the local
Alexander Robitzsch
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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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Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model [PDF]
PeerJ Computer SciencePurpose This study aimed to enhance the multidimensional nominal response model (MDNRM) for multiclass classification in diagnostic radiology. Materials and Methods This retrospective study involved the extension of the conventional nominal response ...
Mizuho Nishio, Eiji Ota
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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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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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Improving olfactory assessment: an item response theory analysis of the American English version of the Sniffin’ sticks identification subtest [PDF]
Frontiers in PsychologyIntroductionThe Sniffin’ Sticks Extended Test (SSET) is one of the most widely used tools for assessing olfactory function in research and clinical settings.
Eva Tolomeo +6 more
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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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