A Unified Comparison of IRT-Based Effect Sizes for DIF Investigations

Autor/in	Chalmers, R. Philip
Titel	A Unified Comparison of IRT-Based Effect Sizes for DIF Investigations
Quelle	In: Journal of Educational Measurement, 60 (2023) 2, S.318-350 (33 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Chalmers, R. Philip)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12347
Schlagwörter	Test Bias; Item Response Theory; Definitions; Monte Carlo Methods; Statistical Analysis; Inferences + Suchen Sie Ihr Suchwort? Testkritik; Item-Response-Theorie; Begriffsbestimmung; Monte-Carlo-Methode; Statistische Analyse; Inference; Inferenz
Abstract	Several marginal effect size (ES) statistics suitable for quantifying the magnitude of differential item functioning (DIF) have been proposed in the area of item response theory; for instance, the Differential Functioning of Items and Tests (DFIT) statistics, signed and unsigned item difference in the sample statistics (SIDS, UIDS, NSIDS, and NUIDS), the standardized indices of impact, and the differential response functioning (DRF) statistics. However, the relationship between these proposed statistics has not been fully discussed, particularly with respect to population parameter definitions and recovery performance across independent samples. To address these issues, this article provides a unified presentation of competing DIF ES definitions and estimators, and evaluates the recovery efficacy of these competing estimators using a set of Monte Carlo simulation experiments. Statistical and inferential properties of the estimators are discussed, as well as future areas of research in this model-based area of bias quantification. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01