Introduction to Permutation and Resampling-Based Hypothesis Tests / Bonnie J. LAFLEUR in Journal of Clinical Child & Adolescent Psychology, 38-2 (March-April 2009)  

Public ISBD [article]  inJournal of Clinical Child & Adolescent Psychology > 38-2 (March-April 2009) . - p.286-294 Titre : Introduction to Permutation and Resampling-Based Hypothesis Tests Type de document : Texte imprimé et/ou numérique Auteurs : Bonnie J. LAFLEUR, Auteur ; Robert A. GREEVY, Auteur Année de publication : 2009 Article en page(s) : p.286-294 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : A resampling-based method of inference—permutation tests—is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of outliers and missing data, problems that are often found in clinical child and adolescent psychology research. These methods are increasingly found in statistical software programs, making their use more feasible. In this article, we use an application-based approach to provide a brief tutorial on permutation testing. We present some historical perspectives, describe how the tests are formulated, and provide examples of common and specific situations under which the methods are most useful. Finally, we demonstrate the utility of these methods to clinical and adolescent psychology by examining four recent articles employing these methods. En ligne : http://dx.doi.org/10.1080/15374410902740411 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=718 [article] Introduction to Permutation and Resampling-Based Hypothesis Tests [Texte imprimé et/ou numérique] / Bonnie J. LAFLEUR, Auteur ; Robert A. GREEVY, Auteur . - 2009 . - p.286-294. Langues : Anglais (eng) in Journal of Clinical Child & Adolescent Psychology > 38-2 (March-April 2009) . - p.286-294 Index. décimale : PER Périodiques Résumé : A resampling-based method of inference—permutation tests—is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of outliers and missing data, problems that are often found in clinical child and adolescent psychology research. These methods are increasingly found in statistical software programs, making their use more feasible. In this article, we use an application-based approach to provide a brief tutorial on permutation testing. We present some historical perspectives, describe how the tests are formulated, and provide examples of common and specific situations under which the methods are most useful. Finally, we demonstrate the utility of these methods to clinical and adolescent psychology by examining four recent articles employing these methods. En ligne : http://dx.doi.org/10.1080/15374410902740411 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=718

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