2.3. Statistical Assessment
The descriptive findings were presented with mean±standard deviation (SD) or median (min-max) for the continuous data, and with frequency (n) and percentage (%) for the categorical data. The normality assumptions were controlled by the Shapiro-Wilk test. Categorical data were analyzed by Pearson’s chi-squared and Fisher’s Exact test. Student’s t-test was used for analysis of normally distributed numerical data. One-Way ANOVA was used for comparison of parametric variables between groups and Tukey HSD test was used as a post-hoc test for significant cases. The McNemar test was used to compare paired categorical data. The paired samples test t-test was used for comparison of repeated measurements. The Spearman and Pearson correlation tests were used to examine the relationship between the SAVE-9 score and the other numerical variables. Multiple linear regression analysis was performed to determine the associated factors with the stress and anxiety of participants. The variables with p<0.2 in the univariate analyses were further tested in the multivariate model. Cronbach’s alpha coefficient was calculated for the reliability analysis. Statistical analysis was made using IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY). Two-sided p-value less than 0.05 was considered statistically significant.