C. F. participated in study design, outcome measure analysis, and edited the manuscript.
Global importance measure analysis is used to rank the risk-contributing factors.
Repeated measure analysis was performed on overall (0 to 56 d) data.
The differences were also analyzed by analysis of covariance (baseline as covariate) and repeated measure analysis of variance (ANOVA) to look for significant treatment, center or time effects.
The calculation results were analyzed with the use of statistical method, which is analogous to experimental measure analysis.
A series of one-way repeated measure analysis of variance followed by Bonferroni post hoc tests were undertaken (α = 0.05).
Student t tests, χ2, repeated measure analysis of variance, Pearson correlation coefficients, and linear regression modeling were used as appropriate.
Two-Way repeated measure analysis of variance (ANOVA) followed by multiple comparison tests was used for testing mean differences between groups at the different time points at significance levels (P ≤ 0.05).
Performance measure analysis was followed by performing a variance analysis, in order to determine the optimum levels and relative magnitude of the effect of parameters.
Repeated measure analysis of variance was used to test the retention of knowledge and self-efficacy between pre-test, immediate post-test, and re-test after 3 months.
Results: Findings of repeated measure analysis of variance revealed significant differences in the factors of anger-eliciting situations, external anger expression, anger arousal, and anger-in.
