4.2 Results of the MIMIC Model
Since no one statistic is universally accepted as an index of model accuracy, in this study a
number of indices were computed to explain the fit of the model. The goodness-of-fit index
(GFI=0.96), adjusted goodness-of-fit index (AGFI=0.93) and comparative fit index
(CFI=0.84) are all close to 1.0, which points to a well-fitting model (Hu and Bentler, 1999).
The root mean square error of approximation (RMSEA=0.06) and the standardized root mean
square residual (SRMR=0.05) at values likewise confirm that the model produced a good fit
to the data (Hooper et al., 2008). Figure 2 depicts the impact of the observed variables on the
latent variables, and the impact of one latent variable on others