Principal component analysis revealed four component factors. Each factor score
obtained from factor analysis was computed as the mean score of the component factor.
The four factors were entered as independent variables in the logistic regression for
further analysis (Sugahara et al., 2008). Since the dependent variable has a dichotomous
value of either 0 or 1, a logistic regression model was adopted to analyze the survey data.
Although the logistic regression is a nonlinear function, the logit equation (1) contains
the term Z, which is a linear function of the independent variables, as follows