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
doaj +6 more sources
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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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
doaj +4 more sources
AN ELEMENTARY TEST OF THE NORMAL 2PL MODEL AGAINST THE NORMAL 3PL ALTERNATIVE [PDF]
ETS Research Report Series, 2006 ABSTRACTA simple score test of the normal two‐parameter logistic (2PL) model is presented that examines the potential attraction of the normal three‐parameter logistic (3PL) model for use with a particular item. Application is made to data from a test from the Praxis™ series.
Shelby Haberman
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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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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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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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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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Stats, 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. However, the presence of differential item functioning (DIF) can impact group comparisons.
Alexander Robitzsch
openaire +4 more sources