Data from Google Forms were exported in a Microsoft Excel 2016 spreadsheet, USA, and all statistical analyses were carried out using SPSS Statistics (version 26.0; SPSS Inc., Chicago, Illinois, USA) and Jamovi 1.1.9.0. Absolute and relative frequencies, n (%) were used to describe categorical variables. Normally distributed quantitative variables were described by means and standard deviations (SDs). Non-normally distributed quantitative variables were described by medians (Med) and interquartile intervals [Q1; Q3] (although the means and standard deviations were also presented in these cases to facilitate comparison with other studies). Normality was verified by observing the histograms.
Means with standard deviations and percentages were calculated. Correlation coefficients were determined in bivariate analyses, and multivariate analysis was conducted using multiple linear regression (stepwise method). The following assumptions were verified: (a) normality and homoscedasticity (residual plots), (b) linear relationship (partial regression plots), (c) independence of residuals (Durbin-Watson statistic), and (d) absence of collinearity (Tolerance and Variance Inflation Factor). P
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