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.