Evaluating the Efficacy of Conditional Analysis of Variance under Non-Normality and Heterogeneity

Autor/inn/en	Wang, Yan; Kim, Eun Sook; Nguyen, Diep Thi; Pham, Thanh Vinh; Chen, Yi-Hsin; Yi, Zhiyao
Titel	Evaluating the Efficacy of Conditional Analysis of Variance under Non-Normality and Heterogeneity
Quelle	(2017), (42 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Statistical Analysis; Error of Measurement; Robustness (Statistics); Sampling; Statistical Inference + Suchen Sie Ihr Suchwort? Statistische Analyse; Messfehler; Widerstandsfähigkeit; Inferential statistics; Schließende Statistik
Abstract	The analysis of variance (ANOVA) F test is a commonly used method to test the mean equality among two or more populations. A critical assumption of ANOVA is homogeneity of variance (HOV), that is, the compared groups have equal variances. Although it is encouraged to test HOV as part of the regular ANOVA procedure, the efficacy of the initial HOV screening that leads to the choice between the ANOVA F test and robust ANOVA methods (namely, conditional ANOVA) has not been investigated. This simulation study examines the efficacy of conditional ANOVA methods under various research conditions and compares this conditional approach with unconditional ANOVA. Results will provide guidelines for researchers in the selection of an appropriate ANOVA test. (As Provided).
Anmerkungen	AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01