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The analysis of variance was used to assess between-group differences in CPI, DD, and DS.
The Steel-Dwass test for multiple comparisons was used to assess between-group differences.
A two-factor analysis of variance (ANOVA) (group as a between-subjects factor and hemisphere as a within-subject factor) was used to assess between-group differences in FA values.
Student t-tests or chi-squares were conducted to assess between-groups differences in ITAS scores.
Analysis of variance with appropriate post-hoc pairwise comparisons will be used to assess between-groups differences for continuous data.
We used ANOVA to assess between-group differences.
Fisher's exact and exact Wilcoxon tests were used to assess between-group differences.
To assess between-group differences in instrument item scores, Mann Whitney U tests were used.
Chi-squared test was used to assess between-group differences for dichotomous or categorical variables.
Again, independent t-tests were used to assess between-group differences across the PEACE scales.
Independent sample t tests were performed to assess between-group differences in continuous variables.
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