2.3 Data analysis
We analyzed the data in our study with the Statistical Package for Social Sciences (SPSS) for Windows 25.0. The results were evaluated at a 95% confidence interval and a significance level of p<.05. We applied descriptive statistics (mean, standard deviation (SD), number, and percentage) to continuous variables. Normality evaluations of the measurement values were performed with Shapiro–Wilk analysis. Values suitable for normal distribution are parametric, and measurement values not suitable for normal distribution are parametric. Non-standard methods were used. We applied Pearson Correlation analysis to determine the relationship between the sub-dimensions of the participants’ COMPI-FPSS, COMPI-CSS, and SCREENIVF scales. Linear Logistic Regression analysis was performed according to significant factors.