1990
DOI: 10.1080/00031305.1990.10475712
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Multiple Comparison Procedures: The Practical Solution

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Cited by 491 publications
(223 citation statements)
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“…Multiple t-tests were used to compare differences in responses to the sex, neutral, and feeding stimuli. We did not correct for these multiple comparisons because the t-tests were planned in advance to test our hypothesis and because of the nature of our study design multiple t-tests were required (Saville, 1990).…”
Section: Discussionmentioning
confidence: 99%
“…Multiple t-tests were used to compare differences in responses to the sex, neutral, and feeding stimuli. We did not correct for these multiple comparisons because the t-tests were planned in advance to test our hypothesis and because of the nature of our study design multiple t-tests were required (Saville, 1990).…”
Section: Discussionmentioning
confidence: 99%
“…Duncan's multiple range test (DMRT), adjusted for multiple contrasts, was used to compare mean values based on (Saville 1990). In all analyses, the level of significance was at least P = 0.05.…”
Section: Discussionmentioning
confidence: 99%
“…To test if the accuracies were equal across the plant, population, and community scales, the slopes of regression lines were compared to each other in a pairwise fashion using multiple analysis of covariance tests (ANCOVA; model effects: LAI E and LAI E ×scale) without an α-level correction for family-wise error. An α-level correction was not used because it inflates the type-II error rate and increases the likelihood of reporting falsely that HA is equally accurate across all scales (Saville 1990). …”
Section: Discussionmentioning
confidence: 99%