Inheritance of Properties of Normal and Non-Normal Distributions After Transformation of Scores to Ranks

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Main Author: Donald W. Zimmerman
Format: Artículo científico
Language:en
Published: Universitat de València 2011
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author Donald W. Zimmerman
author_facet Donald W. Zimmerman
contents Inheritance of Properties of Normal and Non-Normal Distributions After Transformation of Scores to Ranks Donald W. Zimmerman Psicología This study investigated how population parameters representing heterogeneity of variance, skewness, kurtosis, bimodality, and outlier-proneness, drawn from normal and eleven non-normal distributions, also characterized the ranks corresponding to independent samples of scores. When the parameters of population distributions from which samples were drawn were different, the ranks corresponding to the same pairs of samples of scores inherited similar differences. This finding explains some known results concerning Type I error probabilities and the relative power of parametric and nonparametric tests for various non-normal densities. 2011 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917012005 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.1 Vol.32
format Artículo científico
id redalyc_16917012005
institution Redalyc
language en
publishDate 2011
publisher Universitat de València
spellingShingle Inheritance of Properties of Normal and Non-Normal Distributions After Transformation of Scores to Ranks
Donald W. Zimmerman
Psicología
Inheritance of Properties of Normal and Non-Normal Distributions After Transformation of Scores to Ranks Donald W. Zimmerman Psicología This study investigated how population parameters representing heterogeneity of variance, skewness, kurtosis, bimodality, and outlier-proneness, drawn from normal and eleven non-normal distributions, also characterized the ranks corresponding to independent samples of scores. When the parameters of population distributions from which samples were drawn were different, the ranks corresponding to the same pairs of samples of scores inherited similar differences. This finding explains some known results concerning Type I error probabilities and the relative power of parametric and nonparametric tests for various non-normal densities. 2011 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917012005 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.1 Vol.32
title Inheritance of Properties of Normal and Non-Normal Distributions After Transformation of Scores to Ranks
topic Psicología
url https://www.redalyc.org/articulo.oa?id=16917012005