Comparison of Multiple-Indicators, Multiple-Causes--and Item Response Theory-Based Analyses of Subgroup Differences

Autor/inn/en	Willse, John T.; Goodman, Joshua T.
Titel	Comparison of Multiple-Indicators, Multiple-Causes--and Item Response Theory-Based Analyses of Subgroup Differences
Quelle	In: Educational and Psychological Measurement, 68 (2008) 4, S.587-602 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164407312601
Schlagwörter	Test Length; Structural Equation Models; Effect Size; Raw Scores; Item Response Theory; Comparative Analysis + Suchen Sie Ihr Suchwort? Item-Response-Theorie
Abstract	This research provides a direct comparison of effect size estimates based on structural equation modeling (SEM), item response theory (IRT), and raw scores. Differences between the SEM, IRT, and raw score approaches are examined under a variety of data conditions (IRT models underlying the data, test lengths, magnitude of group differences, and relative size of reference and focal groups). Results show that all studied methods perform similarly. All methods tend to underestimate effects as effect sizes become larger. SEM-based approaches to effect size estimation perform somewhat better at shorter test lengths, whereas approaches based on IRT and raw score perform somewhat better at longer test lengths. Although these differences between methods are detectable, they are small in magnitude. (Contains 4 tables and 2 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10