The data analysis was done via the IBM® SPSS Statistics statistical program version 25 for Windows 10 (IBM Corp, Armonk, New York, NY, USA).
The Cronbach α coefficient was calculated to evaluate the internal consistency of the two subscales. A Cronbach α > 0.70 was considered acceptable.
Descriptive analysis of the variables when they were of interest for the study (frequency, mean, standard deviation, median and interquartile range) was done. Normality tests were carried out (Kolmogorov–Smirnov when N > 50, and Shapiro–Wilk when N < 50), and comparisons between 2 groups were done via the Mann–Whitney U test and via the Kruskal–Wallis test or median test when 3 or more groups were compared, because data did not follow a normal distribution. Post hoc analysis was performed in case significant differences were obtained (Dunn’s test for Kruskal–Wallis, pair-wise comparisons via the Mann–Whitney U test for median test). The correlations were studied via Spearman’s rho test. Any value of p < 0.05 was considered significant.
The Cronbach α coefficient was calculated to evaluate the internal consistency of the two subscales. A Cronbach α > 0.70 was considered acceptable.
Descriptive analysis of the variables when they were of interest for the study (frequency, mean, standard deviation, median and interquartile range) was done. Normality tests were carried out (Kolmogorov–Smirnov when N > 50, and Shapiro–Wilk when N < 50), and comparisons between 2 groups were done via the Mann–Whitney U test and via the Kruskal–Wallis test or median test when 3 or more groups were compared, because data did not follow a normal distribution. Post hoc analysis was performed in case significant differences were obtained (Dunn’s test for Kruskal–Wallis, pair-wise comparisons via the Mann–Whitney U test for median test). The correlations were studied via Spearman’s rho test. Any value of p < 0.05 was considered significant.