Results 171 to 180 of about 13,793,876 (195)

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
Li ZENG, Tao XIN, Shu-Mei ZHANG
openaire   +3 more sources

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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Local influence analysis of the 2PL IRT model for binary responses

Journal of Statistical Computation and Simulation, 2020
Detecting influence is an important diagnostic stage in every statistical analysis. This paper examines the local influence of minor perturbations of the model and data for the two-parameter logist...
E. Tsompanaki, 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, 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 (MMAP)
Insu Paek, Zhongtian Lin, Robert Philip Chalmers   +2 more
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Item Parameter Recovery of the Compensatory 2PL MIRT Model by MH-RM and MML (Poster 34)

AERA 2024
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Parameter Recovery and Classification Accuracy Under Conditions of Testlet Dependency: A Comparison of the Traditional 2PL, Testlet, and Bi-Factor Models

Applied Measurement in Education, 2016
ABSTRACTTestlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement.
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Assessment of 2PL, 3PL and 4PL Model-Fit on the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-IV) Using Item Response Theory

International Journal of Research and Innovation in Social Science
The purpose of this paper is to investigate into which of the models of item Response Theory that fits into the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-IV) with a view to adapting the WPPSI-IV to measure the intelligence of Nigerian children aged approximately 7.
Adepoju, Olufemi Adetunji., Dauda, Isiaka Kayode., Lawal, Abduljaleel Kola   +2 more
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Item Parameter Estimation of 2PL IRT Model With Fixed Ability Estimates: Choice of Ability Estimation Methods and Priors on Slopes

The item parameter estimation of an item response theory (IRT) model with fixed ability estimates is useful in equating with a small sample. The current study explores the impact of three ability estimation methods (maximum likelihood estimation [MLE], maximum a posteriori [MAP], and posterior ability distribution estimation [PST]) and three priors on ...
Jianbin Fu, TsungHan Ho, Xuan Tan
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Estimation of Asymptotic Standard Errors of Bayesian Modal Item Parameter Estimators: Application to the 2PL and 3PL Models

Korean Society for Educational Evaluation
Item parameters of item response theory (IRT) models are often estimated by the Bayesian modal (BM) method, which is an extension of the marginal maximum likelihood (MML) method. The purpose of this study is to present a general method to estimate the asymptotic standard errors (SEs) of MML or BM item parameter estimators and to examine its specific ...
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