"multiple group comparison" is a grammatically correct phrase and can be used in written English.
It is typically used in statistical or research contexts to refer to a comparison of more than two groups. Example: The study aimed to conduct a multiple group comparison to determine the effects of various teaching methods on student learning outcomes.
For multiple group comparison, significant difference was calculated using the non-parametric Mann-Whitney U test.
Measurement invariance (MI) in multiple group comparison may pertain to different parameters of psychological assessment (Chen 2008; Sass 2011).
Multiple group comparison analysis was performed to compare the mean values of the LFA indices according to action and patch types.
In multiple group comparison LSD, the ICE-FRPC group (Figure 5) showed a statistically significant roughness (P < 0.05) when compared to ICE-NiTi (Figure 6), Clarity-NiTi, Gemini-NiTi, and SmartClip-NiTi groups.
Comparisons were performed using Student's t-test between pairs of groups, or ANOVA for multiple group comparison.
Multiple group comparison was performed by one-way ANOVA with Bonferroni's post test and differences were declared statistically significant if p<0.05.
One-way analysis of variance was used in multiple group comparisons.
All data were calculated as means ± SD and multiple group comparisons were performed using one-way ANOVA, followed by the post hoc Tukey's test for comparisons.
Multiple group comparisons for variables that satisfy equal variance and normality assumptions were performed by one-way analysis of variance (ANOVA) with Tukey's post-hoc pairwise comparisons.
Multiple group comparisons were performed by one-way analysis of variance (ANOVA) followed by the least significant difference (LSD) t test for post hoc analysis.
Multiple group comparisons were performed by ANOVA followed by Bonferroni post-hoc test.
