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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Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning [PDF]
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
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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 J. Haberman
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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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Evaluation of R Packages with IRT 2PL Model
, 2022 This simulation study compares the three most popular R packages: ltm, mirt and TAM, in terms of the accuracy and precision of item parameter estimation and computational efficiency for the IRT 2PL model. Ability parameters are simulated from a normal, uniform and a skewed distribution. Response matrices are simulated and the three packages are used to
Zhang, Shuya +2 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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Educational and Psychological Measurement, 2022 To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori ...
Insu Paek +2 more
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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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Comparison of Two MCMC Approaches to Missing Response Data in 2PL Model [PDF]
Acta Psychologica Sinica, 2009 Li ZENG, Tao XIN, Shu-Mei ZHANG
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A Definition of a Heywood Case in Item Response Theory Based on Fisher Information [PDF]
EntropyHeywood cases and other improper solutions occur frequently in latent variable models, e.g., factor analysis, item response theory, latent class analysis, multilevel models, or structural equation models, all of which are models with response variables ...
Jay Verkuilen, Peter J. Johnson
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