To assess the overall model fit of the measurement model, confirmatory factor analysis (CFA) was performed. The measurement properties resulted from CFA are summarized in Table 3. In this study, the chi-square statistic indicated the overall model was not fit very well (x^2 = 527.397, p < .001). However, The value of the normed chi-square static to sample size, showed that the model fit the data well with x^2/df at 2.028, which was lower than the recommended threshold of 3.
In addition, the RMSEA value is .057 and CFI value is .955 in our model. According to Hu & Bentler (1999), The RMSEA ranges from 0 to 1, with smaller values indicating better model fit. A value of .06 or less is indicative of acceptable model fit. Also,
CFI (Compratative fit index) values range from 0 to 1, with larger values indicating better fit; a CFI value of .90 or larger is generally considered to indicate acceptable model fit and satisfactory fits were achieved. Because our model’s fit index value is not exceeding the thresholds, we could say that our measurement model has a good fit to the data.
The results of standardized factor loadings, reliability, and convergent validity are presented in Table 3. Overall, the seven variables showed good fit. The standardized loadings for all 29 items ranged …show more content…
Discriminant validity was assessed by comparing the average variance extracted (AVE) with the correlation between the seven factors identified. As suggested by Fornell and Larcker (1981), if the variance explained for each factor using its measurement items is higher than the correlations among the factors, then the factors are shown to be different from one another. In the current research, all factors showed acceptable amount of variance, which are higher than the recommended .50 threshold (Fornell and Larcker, 1981). The variance extracted estimates ranged from .521 to
In addition, the RMSEA value is .057 and CFI value is .955 in our model. According to Hu & Bentler (1999), The RMSEA ranges from 0 to 1, with smaller values indicating better model fit. A value of .06 or less is indicative of acceptable model fit. Also,
CFI (Compratative fit index) values range from 0 to 1, with larger values indicating better fit; a CFI value of .90 or larger is generally considered to indicate acceptable model fit and satisfactory fits were achieved. Because our model’s fit index value is not exceeding the thresholds, we could say that our measurement model has a good fit to the data.
The results of standardized factor loadings, reliability, and convergent validity are presented in Table 3. Overall, the seven variables showed good fit. The standardized loadings for all 29 items ranged …show more content…
Discriminant validity was assessed by comparing the average variance extracted (AVE) with the correlation between the seven factors identified. As suggested by Fornell and Larcker (1981), if the variance explained for each factor using its measurement items is higher than the correlations among the factors, then the factors are shown to be different from one another. In the current research, all factors showed acceptable amount of variance, which are higher than the recommended .50 threshold (Fornell and Larcker, 1981). The variance extracted estimates ranged from .521 to