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Exact(12)
Percentage data were arc sine transformed and analyzed with ANOVA; a Duncan multiple comparison test was conducted to locate differences.
Bonferroni corrected post-hoc tests were performed to locate differences.
When applicable, pairwise comparisons with Bonferroni correction were applied to locate differences between interventions, and Scheffé's post hoc test was applied to locate differences between groups.
In case of interaction effects, bonferroni post hoc tests were performed to further locate differences.
When applicable, pairwise comparisons with Bonferroni correction were applied to locate differences between interventions.
When the ANOVA showed a significant interaction effect, a Tukey's post hoc test was used to locate differences between conditions.
Similar(48)
However, these methods are dedicated to discriminating, clustering and retrieving CAD models, and not to accurately identifying and locating differences between models.
When statistical differences were identified, two-by-two tests (multiple comparisons) were calculated to locate the differences, with a p value of 0.017 (Bonferroni's correction).
When a significant difference was detected a two-sample Wilcoxon-rank sum test was used to locate the differences.
was used to compare values and locate significant differences.
If significant main effects were found, Bonferroni post hoc analyses were performed to locate the differences.
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