CFA is a technique used to test whether the theoretically imposed structure of the underlying constructs exists in the observed data. The first run of CFA for the measurement model (N = 509) indicated that item CS01 had a loading less than 0.5 (0.44); as a result, this item was considered for deletion for the next run to increase the model fit. In addition, the initial results of the CFA of the measurement model showed a considerably satisfactory level of fit, χ2(df = 695) = 1,750.62, p = .000, comparative fit index (CFI) = 0.98, Tucker–Lewis index (TLI) = 0.98, goodness-of-fit index (GFI) = 0.83, adjusted goodness-of-fit index (AGFI)=0.80, normed fit index (NFI)=0.96, and root mean square error of approximation (RMSEA) = 0.059. While the