Table 2.
Model | Model statistics | |||||||
---|---|---|---|---|---|---|---|---|
X2 | df | p | X2/df | NFI | IFI | CFI | RMSEA | |
Overall (all sessions) | ||||||||
Fundamental MI Skills | 24.40 | 5 | .00 | 5.08 | .94 | .95 | .95 | .10 |
Advanced MI Skills | 16.63 | 5 | .00 | 3.93 | .87 | .90 | .90 | .08 |
Session 1 | ||||||||
Fundamental MI Skills | 8.32 | 5 | .14 | 1.66 | .94 | .97 | .97 | .06 |
Advanced MI Skills | 14.17 | 5 | .02 | 2.83 | .83 | .89 | .87 | .11 |
Session 2 | ||||||||
Fundamental MI Skills | 7.14 | 5 | .21 | 1.43 | .96 | .99 | .99 | .06 |
Advanced MI Skills | 2.03 | 5 | .85 | 0.41 | .96 | 1.07 | 1.00 | .05 |
Session 3 | ||||||||
Fundamental MI Skills | 11.89 | 5 | .04 | 2.38 | .91 | .95 | .94 | .10 |
Advanced MI Skills | 19.63 | 5 | .00 | 3.93 | .87 | .90 | .90 | .00 |
Note. In confirmatory factor analysis, the goodness-of-fit of any predicted latent structure is determined by the preponderance of several indices suggesting a well-fitted model. These fit indices include a nonsignificant chi-square value, chi-square degrees of freedom ratios < 2, a normed fit index (NFI), incremental fit index (IFI), and comparative fit index (CFI) > .90, and the root mean square error of approximation (RMSEA) ≤ .10 degrees of freedom (Marsh et al., 1988; Yadama and Pandey, 1995). Statistics meeting these thresholds are bolded.