1961
DOI: 10.2307/2282330
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Multiple Comparisons Among Means

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship.Methods for constructing simultaneous confidence intervals for all possible linear contrasts among several means of normally distributed variables have been given by Scheff6 and Tukey. In this paper the possibility is considered of picking in ad… Show more

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Cited by 1,368 publications
(1,288 citation statements)
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“…Group differences in the parameters of the optimal model were tested with the bootstrapping method as described above. The Bonferroni procedure was used to correct for multiple comparisons (Dunn, 1961). …”
Section: Methodsmentioning
confidence: 99%
“…Group differences in the parameters of the optimal model were tested with the bootstrapping method as described above. The Bonferroni procedure was used to correct for multiple comparisons (Dunn, 1961). …”
Section: Methodsmentioning
confidence: 99%
“…Unless specified otherwise, all reported p values were based on two-tailed criteria and corrected for multiple comparisons using the Bonferroni method (i.e. p corr = p uncorr × number of comparisons made) (Dunn, 1961).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Since some statisticians advocate that all multiple comparison data tests should be corrected for the number of comparisons made, we have also calculated Dunn's correction 26 for the data shown in tables 1 and 2. The Dunn correction reduces the significance of differences established by conventional t testing.…”
Section: Discussionmentioning
confidence: 99%