We assessed goodness of fit using three criteria. First, a Chi-square test (χ2) was used to compare the predicted covariance matrix with the observed matrix. We used the Yuan-Bentler scaled χ2 which is provided for models with robust standard errors (Yuan & Bentler, 1998). A non-significant value for this measure indicates that the predicted model accounts for the covariation between measures. Chi-square tests, however, are very sensitive to sample size, and significant values do not necessarily indicate a poor fit with large samples. For this reason, we augment this measure with additional indices that are not as sensitive to sample size and represent a graded index of fit (Hu & Bentler, 1995): the Comparative Fit Index (CFI) and Root Mean Square Error of Approximation (RMSEA).
