Reporting Subscores Using R: A Software Review

Autor/inn/en	Dai, Shenghai; Svetina, Dubravka; Wang, Xiaolin
Titel	Reporting Subscores Using R: A Software Review
Quelle	In: Journal of Educational and Behavioral Statistics, 42 (2017) 5, S.617-638 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
Schlagwörter	Diagnostic Tests; Scores; Computer Software; Item Response Theory; Models; Factor Analysis; Psychometrics; Monte Carlo Methods + Suchen Sie Ihr Suchwort? Diagnostic test; Diagnostischer Test; Item-Response-Theorie; Analogiemodell; Faktorenanalyse; Psychometry; Psychometrie; Monte-Carlo-Methode
Abstract	There is an increasing interest in reporting test subscores for diagnostic purposes. In this article, we review nine popular R packages (subscore, mirt, TAM, sirt, CDM, NPCD, lavaan, sem, and OpenMX) that are capable of implementing subscore-reporting methods within one or more frameworks including classical test theory, multidimensional item response theory, cognitive diagnostic models, and factor analysis. A real data example is used to illustrate how to examine whether subscores should be reported and how to obtain subscores. We also briefly compare the features of selected packages for reporting subscores. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01