Reliability Generalization: The Importance of Considering Sample Specificity, Confident Intervals, and Subgroup Differences.

Autor/inn/en	Onwuegbuzie, Anthony J.; Daniel, Larry G.
Titel	Reliability Generalization: The Importance of Considering Sample Specificity, Confident Intervals, and Subgroup Differences.
Quelle	(2000), (44 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Beigaben	Tabellen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Tagungsbericht; Correlation; Generalization; Reliability; Research Methodology; Statistical Significance + Suchen Sie Ihr Suchwort? Korrelation; Reliabilität; Research method; Forschungsmethode
Abstract	The purposes of this paper are to identify common errors made by researchers when dealing with reliability coefficients and to outline best practices for reporting and interpreting reliability coefficients. Common errors that researchers make are: (1) stating that the instruments are reliable; (2) incorrectly interpreting correlation coefficients; (3) not reporting reliability coefficients for their own sample; (4) conducting tests of statistical significance on reliability coefficients; and (5) failing to report the reliability of difference scores when examining gain scores. It is recommended that researchers report reliability coefficients for their own data and that they interpret confidence intervals around reliability coefficients, considering that reliability coefficients should be reported not only for the full sample at hand but also for each subgroup. A heuristic example is used for the two-sample case (i.e., t-test) to illustrate how comparing subgroups with different reliability coefficients can affect statistical power. (Contains 3 tables and 36 references.) (Author/SLD)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01