Various goodness of fit indices help to assess the fit of the measurement model and the structural model. The χ2 compares the actual observed matrix with the estimated matrix. The χ2 divided by its degrees of freedom (χ2/DF ratio) is a means to assess the fit of the model. A χ2/DF ratio less than 2 or 3 indicates acceptable model fit (Carmines and McIver 1981). The root mean square error of approximation (RMSEA) index constitutes a parsimony measure that depicts the discrepancy between the observed and estimated covariance matrices per degree of freedom. RMSEA values below .08 are considered good fit (Browne and Cudeck 1993; Schumacker and Lomax 1996). The comparative fit index (CFI) is a non-centrality parameter-based index used to overcome the limitation of sample size effects (Bentler 1990). CFI values close to .9 indicate good model fit (Schumacker and Lomax 1996). The Tucker-Lewis index (TLI) compares a proposed model’s fit to a nested baseline or null model. Again, a value close to .9 indicates good model fit (Schumacker and Lomax 1996).Table 4 provides an overview of the thresholds of the goodness of fit criteria.