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Autor/inn/en | Pero-Cebollero, Maribel; Guardia-Olmos, Joan |
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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 |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0211-2159 |
Schlagwörter | Statistical Analysis; Robustness (Statistics); Comparative Analysis; Groups; Computation; Sample Size; Statistical Distributions |
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 |