Sentence examples for multiple group testing from inspiring English sources

Finally, results of multiple group testing as displayed in Table 6 indicate invariance across the three measurement points (ΔCFI = 0.000 and 0.000; ΔRMSEA = 0.001 and 0.002; ΔSRMR = 0.004 and 0.002).

The multiple group test showed the transcription levels among these three groups were significant different (P-value = 0.006).

Appropriate multiple group tests (one-way ANOVA and Kruskal-Wallis) were used to compare the four groups to determine if there was a difference between them and, if positive, a Tukey's honestly significance difference test or individual Mann-Whitney U tests with Bonferroni's correction were used to determine where the difference lay, depending on the normality of the data.

For continuous variables, differences between two groups were tested by means of either Student t-test or Mann–Whitney U-test, while for multiple groups testing was done by ANOVA or Kruskal-Wallis ANOVA.

Differences between experimental groups were analyzed by One way ANOVA (Bonferroni multiple group analysis test) for SB formation, clonogenicity and cisplatin sensitivity study using GraphPad PRISM software, version 3.0 (GraphPad Prism).

If the means were significantly different, a Tukey-Kramer post-hoc multiple group comparison test was used to compare individual groups.

To determine if overall skin scores varied by group, each group's individual animal skin scores' AUC medians were compared using Mann Whitney (two group comparison) or Kruskal-Wallis (multiple group comparisons) tests.

Comparisons between the groups were performed with the two independent samples' t-test; those between multiple groups were tested with one-way ANOVA, and those between any groups were tested with SNK.

Overall differences between multiple groups were tested using the nonparametric Kruskal-Wallis test.

Multiple groups were tested by one-way ANOVA, and Dunnett's multiple comparison test was used to determine which groups were significantly different from the control group.

Data obtained from multiple groups were tested using one-way analysis of variance (ANOVA) followed by Newman-Keuls post-test.