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

Autor:	John T. Willse, Joshua T. Goodman
Rok vydání:	2008
Předmět:	Psychometrics Group differences Applied Mathematics Item response theory Statistics Developmental and Educational Psychology Econometrics Raw score behavioral disciplines and activities Applied Psychology Structural equation modeling Education Mathematics
Zdroj:	Educational and Psychological Measurement. 68:587-602
ISSN:	1552-3888 0013-1644
DOI:	10.1177/0013164407312601
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::85b4e4cad516099cd03893781b54374c https://doi.org/10.1177/0013164407312601 Zobrazit plný text záznamu