Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/65375
Title: The adequacy of different robust statistical tests in comparing two independent groups
Author: Peró, Maribel
Guàrdia Olmos, Joan
Keywords: Estadística robusta
Robust statistics
Issue Date: 2013
Publisher: Universitat de València
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.
Note: Reproducció del document publicat a: https://www.uv.es/psicologica/articulos2.13/15Pero.pdf
It is part of: Psicologica, 2013, vol. 34, num. 2, p. 407-424
URI: http://hdl.handle.net/2445/65375
ISSN: 0211-2159
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Files in This Item:
File Description SizeFormat 
624897.pdf1.68 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.