A Monte Carlo Study of Eight Confidence Interval Methods for Coefficient Alpha

Autor/inn/en	Romano, Jeanine L.; Kromrey, Jeffrey D.; Hibbard, Susan T.
Titel	A Monte Carlo Study of Eight Confidence Interval Methods for Coefficient Alpha
Quelle	In: Educational and Psychological Measurement, 70 (2010) 3, S.376-393 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164409355690
Schlagwörter	Monte Carlo Methods; Intervals; Computation; Sample Size; Reliability + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Reliabilität
Abstract	The purpose of this research is to examine eight of the different methods for computing confidence intervals around alpha that have been proposed to determine which of these, if any, is the most accurate and precise. Monte Carlo methods were used to simulate samples under known and controlled population conditions. In general, the differences in the accuracy and precision of the eight methods examined were negligible in many conditions. For the breadth of conditions examined in this simulation study, the methods that proved to be the most accurate were those proposed by Bonett and Fisher. Larger samples sizes and larger coefficient alphas also resulted in better interval coverage, whereas smaller numbers of items resulted in poorer interval coverage. (Contains 6 tables, 2 figures, and 1 note.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10