2018
DOI: 10.4097/kja.d.18.00242
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What is the proper way to apply the multiple comparison test?

Abstract: Multiple comparisons tests (MCTs) are performed several times on the mean of experimental conditions. When the null hypothesis is rejected in a validation, MCTs are performed when certain experimental conditions have a statistically significant mean difference or there is a specific aspect between the group means. A problem occurs if the error rate increases while multiple hypothesis tests are performed simultaneously. Consequently, in an MCT, it is necessary to control the error rate to an appropriate level. … Show more

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Cited by 739 publications
(437 citation statements)
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References 12 publications
(12 reference statements)
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“…Analyses were conducted using a mixed factorial analysis of variance (ANOVA), except analysis on type of detail that dominated in the memory reports of the cultural groups, where repeated measures ANOVA was used. Where significance difference existed, we used Games–Howell multiple comparisons test as this post‐hoc test is suitable for comparison groups of unequal size (Lee & Lee, ). We applied a Bonferronni correction (.017) to control for increased error rates arising from multiple tests.…”
Section: Resultsmentioning
confidence: 99%
“…Analyses were conducted using a mixed factorial analysis of variance (ANOVA), except analysis on type of detail that dominated in the memory reports of the cultural groups, where repeated measures ANOVA was used. Where significance difference existed, we used Games–Howell multiple comparisons test as this post‐hoc test is suitable for comparison groups of unequal size (Lee & Lee, ). We applied a Bonferronni correction (.017) to control for increased error rates arising from multiple tests.…”
Section: Resultsmentioning
confidence: 99%
“…The relative time with respect to T WM was also maximum in the case of DTVMI, which will result in a maximum delay in flood arrival. To examine the relationship between the relative delay time for different cases of SDS and HDS, a pairwise comparison method namely least significant difference (LSD) method explained in the literature [52] was used. The calculated critical value of LSD was 0.21.…”
Section: Delay In Floodwater Arrival Time and Water Level Risementioning
confidence: 99%
“…because the heteroscedasticity of the sample. This test uses a modified F-statistic to analyse significant effects and it is commonly used to deal with heteroscedastic samples [42]. Moreover, to identify inter-group differences, we used a T2 Dunnett test.…”
Section: Resultsmentioning
confidence: 99%