TABLE 4.
Statistics Used to Evaluate Model Fit
Statistics | Criteria for “Good” Fit | Model 1 | Model 2a | Model 3b | Model 4c |
---|---|---|---|---|---|
χ2 | 69.13 | 19.76 | 306.11 | 49.47 | |
df | 12 | 8 | 56 | 33 | |
p | <.001 | .01 | <.001 | .03 | |
CFI | >0.95 | 0.93 | 0.99 | 0.82 | 0.99 |
RMSEA | <0.08 | 0.12 | 0.07 | 0.11 | 0.04 |
df = degrees of freedom; p = significance value; CFI = comparative fit index; RMSEA = root mean square error of approximation.
Three paths and one covariance were added to the model, resulting in the loss of 4 df.
Eight covariates were added to the model, and modification indices were evaluated to identify potential confounders.
Three potential covariates (years in the United States, married, and health insurance) and six paths were added between covariates and endogenous variables.