The adequacy of different robust statistical tests in comparing two independent groups
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| Natura: | Artículo científico |
| Lingua: | en |
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Universitat de València
2013
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| _version_ | 1876447446018555904 |
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| author | Maribel Peró-Cebollero |
| author_facet | Maribel Peró-Cebollero |
| contents | The adequacy of different robust statistical tests in comparing two independent groups Maribel Peró-Cebollero Joan Guàrdia-Olmos Psicología 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. 2013 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16929535015 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.2 Vol.34 |
| format | Artículo científico |
| id | redalyc_16929535015 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universitat de València |
| spellingShingle | The adequacy of different robust statistical tests in comparing two independent groups Maribel Peró-Cebollero Psicología The adequacy of different robust statistical tests in comparing two independent groups Maribel Peró-Cebollero Joan Guàrdia-Olmos Psicología 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. 2013 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16929535015 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.2 Vol.34 |
| title | The adequacy of different robust statistical tests in comparing two independent groups |
| topic | Psicología |
| url | https://www.redalyc.org/articulo.oa?id=16929535015 |