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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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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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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Psychometric validation of the informed consent assessment scale using item response theory and factor analysis [PDF]
Frontiers in MedicineObjectivesInformed consent is a central ethical and legal practice in medicine, yet communication skills specific to this task are under-assessed in undergraduate medical education. This study aimed to develop and validate the informed consent assessment
Nuno Silva Gonçalves +12 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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The Rank-2PL IRT Models for Forced-Choice Questionnaires: Maximum Marginal Likelihood Estimation with an EM Algorithm. [PDF]
J Educ Behav StatThe rank two-parameter logistic (Rank-2PL) item response theory models refer to a set of models applying the 2PL model in a sequential ranking process that occurs in forced-choice questionnaires. The multi-unidimensional pairwise preference with 2PL model (MUPP-2PL) is a Rank-2PL model for items with two statements.
Fu J, Tan X, Kyllonen PC.
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Modeling Sequential Dependencies in Progressive Matrices: An Auto-Regressive Item Response Theory (AR-IRT) Approach [PDF]
Journal of IntelligenceMeasurement models traditionally make the assumption that item responses are independent from one another, conditional upon the common factor. They typically explore for violations of this assumption using various methods, but rarely do they account for ...
Nils Myszkowski, Martin Storme
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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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