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.