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Impact of IRT Model Choice (1PL, 2PL, 3PL, 3PLu, 4PL) on the Accuracy of Item Parameters, Ability Estimates, and the Test Information Function in Raven’s Standard Progressive Matrices

مجلة الجامعة الإسلامية للدراسات التربوية والنفسية
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A Comparison of Two MCMC Algorithms for the 2PL IRT Model

Springer Proceedings in Mathematics and Statistics, 2017
Markov chain Monte Carlo (MCMC) techniques have become popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS), which can be implemented in two specialized software packages JAGS and Stan, respectively.
Yanyan Sheng, Sheng Yanyan
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Person Specific Parameter Heterogeneity in the 2PL IRT Model

Multivariate Behavioral Research, 2023
Following Kelderman and Molenaar's demonstration that a factor model with person specific factor loadings is almost indistinguishable from the standard factor model in terms of overall fit, we examined person specific measurement models in Item Response Theory, person specific discrimination and difficulty parameters were created by adding random ...
Alexandra Lane, Perez, Eric, Loken
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Comparison of Two MCMC Approaches to Missing Response Data in 2PL Model

Acta Psychologica Sinica, 2009
Tao Xin
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Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models

Multivariate Behavioral Research, 2022
Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step to ensure items behave the same across groups.
Chun Wang, Ruoyi Zhu, Gongjun Xu
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Comparing the normalised and 2PL IRT scoring methods on multi-form examinations

International Journal of Quantitative Research in Education, 2021
Gregory Camilli
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Local influence analysis of the 2PL IRT model for binary responses

Journal of Statistical Computation and Simulation, 2021
C Caroni
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Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models

Educational and Psychological Measurement, 2023
Insu Paek
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Ability Parameter Recovery in Virtual Learning Environment Item Response Data With the Sequential Two-Parameter Logistic Item Response Theory (2PL-IRT) Model

Proceedings of the 2021 AERA Annual Meeting, 2021
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The Effect of Asymmetry of Item Characteristic Curves on Item Information Function Estimation: A Comparison of RH, 2PL, and 3PL IRT Models through Simulation Study

Korean Society for Educational Evaluation, 2019
Sora Lee, Sun-Geun Baek
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