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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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Published in: | Psychological bulletin 1984-01, Vol.95 (1), p.148-155 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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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) |
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ISSN: | 0033-2909 1939-1455 |
DOI: | 10.1037/0033-2909.95.1.148 |