Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models

Autor/inn/en	Debelak, Rudolf; Strobl, Carolin
Titel	Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models
Quelle	In: Educational and Psychological Measurement, 79 (2019) 2, S.385-398 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164418777784
Schlagwörter	Test Bias; Item Response Theory; Statistical Analysis; Maximum Likelihood Statistics; Computation; Hypothesis Testing; Robustness (Statistics) + Suchen Sie Ihr Suchwort? Testkritik; Item-Response-Theorie; Statistische Analyse; Hypothesenprüfung; Hypothesentest; Widerstandsfähigkeit
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01