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Selection of pairwise multiple comparison procedures for parametric and nonparametric analysis of variance models

Discusses 2 issues that are often overlooked in the evaluation of pairwise multiple comparison procedures (MCPs): Comparisons of powers for competing MCPs are not useful unless the procedures have identical nominal experimentwise error rates; and "protected" MCPs do not control the experim...

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Bibliographic Details
Published in:Psychological bulletin 1984-01, Vol.95 (1), p.148-155
Main Authors: Zwick, Rebecca, Marascuilo, Leonard A
Format: Article
Language:English
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Summary:Discusses 2 issues that are often overlooked in the evaluation of pairwise multiple comparison procedures (MCPs): Comparisons of powers for competing MCPs are not useful unless the procedures have identical nominal experimentwise error rates; and "protected" MCPs do not control the experimentwise Type I error rate at the nominal alpha except in the complete null case. Also, procedures based on the ranks of all K groups do not test the same hypothesis as MCPs that involve reranking the data for each pairwise comparison. (41 ref)
ISSN:0033-2909
1939-1455
DOI:10.1037/0033-2909.95.1.148