2.3. Statistical Analysis

The data were analyzed using Statistical Package for Social Sciences software program version 16. The numerical values were recorded as means and standard deviation. Before comparing the means, the Kolmogorov–Smirnov test was used to check the normality of the groups analyzed. The means of quantitative variables were compared using independent t-tests, while the nominal and categorical data were compared by Chi-square and Fisher's exact tests. In all tests, P values below 0.05 were considered statistically significant. The sample size that gives 80% statistical power, α error of 0.05, and large effect size more than 0.5 was calculated using G-power software calculator version 3.1.