Lüpsen, Haiko (2015). Varianzanalysen - Prüfen der Voraussetzungen und nichtparametrische Methoden sowie praktische Anwendungen mit R und SPSS. Version 1.1 (2.3.2015). Technical Report.

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Abstract

Die Voraussetzunen der parametrischen 1- und mehrfaktoriellen Varianzanalyse, mit und ohne Messwiederholungen, werden besprochen. Ferner werden eine Reihe von alternativen Verfahren vorgestellt, insbesondere einige nichtparametrische, darunter RT (rank transform), INT (inverse normal transform), ART (aligned rank transform), Puri & Sen (L statistic), van der Waerden und Akritas & Brunner (ATS anova type statistic), die sich auf die parametrische Varianzanalyse zurückführen lassen, sowie dichotome und ordinale logistische Regression. Hierzu werden Lösungen mit R und SPSS ausführlich gezeigt.

Item Type: Report, Pre- or Post-Print (Technical Report)
Translated title:
TitleLanguage
analysis of variance - checking the assumptions and nonparametric methods as well as applications with R and SPSSEnglish
Translated abstract:
AbstractLanguage
The assumptions of the parametric one- and multifactorial anova, with and without repeated measurements, are discussed. A number of alternative procedures are presented, especially some nonparametric anovas, among others RT (rank transform), INT (inverse normal transform), ART (aligned rank transform), Puri & Sen (L statistic), van der Waerden and Akritas & Brunner (ATS anova type tatistic), which can be reduced to the parametric anova, as well as the dichotomous and polychotomous logistic regression. Solutions with R and SPSS are offered and discussed.English
Creators:
CreatorsEmailORCID
Lüpsen, Haikoluepsen@uni-koeln.deUNSPECIFIED
URN: urn:nbn:de:hbz:38-63096
Subjects: General statistics
Uncontrolled Keywords:
KeywordsLanguage
Statistik, Varianzanalyse, nichtparametrisch, Regression, R, SPSSGerman
statistics, anova, analysis of variance, regression, nonparametric, R, SPSSEnglish
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Institute of Computer Science
Language: German
Date: March 2015
Number of Pages: 188
URI: http://kups.ub.uni-koeln.de/id/eprint/6309

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