1990
DOI: 10.2307/2684163
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Multiple Comparison Procedures: The Practical Solution

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Cited by 314 publications
(273 citation statements)
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“…Subsequently, the appropriate data analyses were done using general linear models (GLM) and standard analysis of variance (ANOVA) in JMP™ v2.01 software for Macintosh® (SAS Institute, 1990). When significant (P < 0.05) differences were detected, multiple comparisons of means were analysed using the least significant difference (LSD) procedure (Sokal and Rohlf, 1969;Saville, 1990).…”
Section: Discussionmentioning
confidence: 99%
“…Subsequently, the appropriate data analyses were done using general linear models (GLM) and standard analysis of variance (ANOVA) in JMP™ v2.01 software for Macintosh® (SAS Institute, 1990). When significant (P < 0.05) differences were detected, multiple comparisons of means were analysed using the least significant difference (LSD) procedure (Sokal and Rohlf, 1969;Saville, 1990).…”
Section: Discussionmentioning
confidence: 99%
“…Data are reported as mean Ϯ S.E. Statistical significance (p Ͻ 0.05) was assessed by one-way analysis of variance followed by multiple comparison using Student's t tests with no corrections (25,26).…”
Section: Methodsmentioning
confidence: 99%
“…Sad). Given our specific predictions, any interactions indicated by the ANOVAs were followed up using planned comparisons (t-tests), without applying additional corrections for multiple comparisons (Rothman, 1990;Saville, 1990;McDonald, 2009). As effect sizes we report partial eta (η p ²), where .01 is considered a small effect size, .06 a medium effect and .14 a large effect (Cohen, 1988).…”
Section: Analysesmentioning
confidence: 99%