ArticleEducational and psychological measurement2019
Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models.
Article in Educational and psychological measurement, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Score-based tests for parameter instability in ordinal factor models.The British journal of mathematical and statistical psychology · 2025Article
- Investigating heterogeneity in IRTree models for multiple response processes with score-based partitioning.The British journal of mathematical and statistical psychology · 2025Article
- Score-based measurement invariance checks for Bayesian maximum-a-posteriori estimates in item response theory.The British journal of mathematical and statistical psychology · 2022Article
- An R toolbox for score-based measurement invariance tests in IRT models.Behavior research methods · 2022Review
- Anchor Point Selection: Scale Alignment Based on an Inequality Criterion.Applied psychological measurement · 2021Article
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2 authors.
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Abstract
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter. The Type I error rate and the power of this method were evaluated by a variety of simulation studies. The results suggest that the new method allows the detection of various forms of differential item functioning in these models, which also includes differential discrimination and differential guessing effects. It is also robust against moderate violations of several assumptions made in the item parameter estimation.
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