with fidelity to the data in representing the observed covariances among the variables. The standardized root mean square residual (SRMR)32 quantifies the standardized difference between the observed predicted covariances, with 0 indicating a perfect fit and values < .08 conventionally indicating good fit.The root mean square error of approximation (RMSEA)33 estimates the discrepancy between the index model and the true population covariance matrix of the variables. Smaller values of RMSEA indicate better fit, with values less than 0.05 conventionally indicating close fits.33
