Lüpsen, Haiko (2019). Multiple Mittelwertvergleiche - parametrisch und nichtparametrisch - sowie α-Adjustierungen mit praktischen Anwendungen mit R und SPSS. Version 2.0. Technical Report.

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Abstract

Die etwa 30 bekanntesten parametrischen und ca. 20 nichtparametrischen Verfahren für multiple Mittelwertvergleiche sowie ca. 25 Methoden für alpha-Korrekturen bei Paarvergleichen werden vorgestellt. Dabei stehen solche im Vordergrund, die in R und/oder in SPSS ohne großen Aufwand anwendbar sind. Es werden die Voraussetzungen der Verfahren besprochen sowie Lösungen mit R und SPSS ausführlich gezeigt.

Item Type: Preprints, Working Papers or Reports (Technical Report)
Translated title:
TitleLanguage
Multiple Comparisons - paranetric and nonparametric - as well as α-Adjustments with practical Applications in R and SPSSEnglish
Translated abstract:
AbstractLanguage
The about 30 most known parametric and about 20 nonparametric methods for multiple comparisons of means as well as approximately 25 methods of alpha corrections for pairwise comparisons are presented. Main interest is laid upon such methods that are easily applicable with R and SPSS. The assumptions of the methods are reviewed. Solutions with R and SPSS are offered and discussed.English
Creators:
CreatorsEmailORCIDORCID Put Code
Lüpsen, Haikoluepsen@uni-koeln.deUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-95668
Number of Pages: 145
Date: 30 April 2019
Language: German
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects: Data processing Computer science
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URI: http://kups.ub.uni-koeln.de/id/eprint/9566

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