IRT-Estimated Reliability for Tests Containing Mixed Item Formats

Autor/inn/en	Shu, Lianghua; Schwarz, Richard D.
Titel	IRT-Estimated Reliability for Tests Containing Mixed Item Formats
Quelle	In: Journal of Educational Measurement, 51 (2014) 2, S.163-177 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12040
Schlagwörter	Item Response Theory; Reliability; Models; Computation; Comparative Analysis; Scaling; Statistical Distributions + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Reliabilität; Analogiemodell; Scale construction; Skalenkonstruktion; Wahrscheinlichkeitsverteilung
Abstract	As a global measure of precision, item response theory (IRT) estimated reliability is derived for four coefficients (Cronbach's a, Feldt-Raju, stratified a, and marginal reliability). Models with different underlying assumptions concerning test-part similarity are discussed. A detailed computational example is presented for the targeted coefficients. A comparison of the IRT model-derived coefficients is made and the impact of varying ability distributions is evaluated. The advantages of IRT-derived reliability coefficients for problems such as automated test form assembly and vertical scaling are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10