The Hellinger Distance within Posterior Predictive Assessment for Investigating Multidimensionality in IRT Models
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DOI: 10.1080/00273171.2020.1753497
Abstract: Abstract Under the Bayesian approach, posterior predictive model checking (PPMC) has become a popular tool for fit assessment of item response theory (IRT) models. In this study, we propose the use of the Hellinger distance… read more here.
Keywords: distance; irt models; posterior predictive; distance within ... See more keywords
Mixture IRT Model With a Higher-Order Structure for Latent Traits
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DOI: 10.1177/0013164416640327
Abstract: Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by… read more here.
Keywords: order; irt; irt models; higher order ... See more keywords
The Impact of Sample Size and Various Other Factors on Estimation of Dichotomous Mixture IRT Models
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DOI: 10.1177/00131644221094325
Abstract: The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL, and Mix3PL.… read more here.
Keywords: dichotomous mixture; accuracy; size; irt models ... See more keywords
Assessing Dimensionality of IRT Models Using Traditional and Revised Parallel Analyses
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DOI: 10.1177/00131644221111838
Abstract: Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some… read more here.
Keywords: parallel analyses; irt; analysis; revised parallel ... See more keywords
The Accuracy of Bayesian Model Fit Indices in Selecting Among Multidimensional Item Response Theory Models
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DOI: 10.1177/00131644231165520
Abstract: Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor… read more here.
Keywords: nested dimensionality; model; dimensionality; irt models ... See more keywords
A Posterior Predictive Model Checking Method Assuming Posterior Normality for Item Response Theory
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DOI: 10.1177/0146621618779985
Abstract: This study investigated the violation of local independence assumptions within unidimensional item response theory (IRT) models. Bayesian posterior predictive model checking (PPMC) methods are increasingly being used to investigate multidimensionality in IRT models. The current… read more here.
Keywords: response theory; item response; predictive model; irt models ... See more keywords
IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters
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DOI: 10.1177/0146621620932654
Abstract: A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the Item Response Theory (IRT) models… read more here.
Keywords: package; models guessing; guessing slipping; irt models ... See more keywords