The Adequacy of Different Robust Statistical Tests in Comparing Two Independent Groups

Autor/inn/en	Pero-Cebollero, Maribel; Guardia-Olmos, Joan
Titel	The Adequacy of Different Robust Statistical Tests in Comparing Two Independent Groups
Quelle	In: Psicologica: International Journal of Methodology and Experimental Psychology, 34 (2013) 2, S.407-424 (18 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0211-2159
Schlagwörter	Statistical Analysis; Robustness (Statistics); Comparative Analysis; Groups; Computation; Sample Size; Statistical Distributions + Suchen Sie Ihr Suchwort? Statistische Analyse; Widerstandsfähigkeit; Wahrscheinlichkeitsverteilung
Abstract	In the current study, we evaluated various robust statistical methods for comparing two independent groups. Two scenarios for simulation were generated: one of equality and another of population mean differences. In each of the scenarios, 33 experimental conditions were used as a function of sample size, standard deviation and asymmetry. For each condition, 5000 replications per group were generated. The results obtained by this study show an adequate type error I rate but not a high power for the confidence intervals. In general, for the two scenarios studied (mean population differences and not mean population differences) in the different conditions analysed, the Mann-Whitney U-test demonstrated strong performance, and a little worse the t-test of Yuen-Welch. (As Provided).
Anmerkungen	University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10