The File Drawer Problem in Reliability Generalization: A Strategy to Compute a Fail-Safe N with Reliability Coefficients

Autor/inn/en	Howell, Ryan T.; Shields, Alan L.
Titel	The File Drawer Problem in Reliability Generalization: A Strategy to Compute a Fail-Safe N with Reliability Coefficients
Quelle	In: Educational and Psychological Measurement, 68 (2008) 1, S.120-128 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164407301528
Schlagwörter	Reliability; Meta Analysis; Generalization; Evaluation Methods; Data Analysis; Research Methodology; Equations (Mathematics) + Suchen Sie Ihr Suchwort? Reliabilität; Meta-analysis; Metaanalyse; Auswertung; Research method; Forschungsmethode; Equations; Mathematics; Gleichungslehre
Abstract	Meta-analytic reliability generalizations (RGs) are limited by the scarcity of reliability reporting in primary articles, and currently, RG investigators lack a method to quantify the impact of such nonreporting. This article introduces a stepwise procedure to address this challenge. First, the authors introduce a formula that allows researchers to estimate the lower bound population average reliability for a desired instrument. Second, they present an equation to determine the Fail-Safe N for RG. This equation estimates the number of "file drawer" studies required to drop the aggregate score reliability of an instrument below a specified criterion value. Finally, the authors demonstrate the utility of these equations using published RG studies. Comments on the conclusions drawn from each RG application are provided. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10