Table 5.
Model fit indices for alternative models
Model | χ2 (df) | CFI | TLI | RMSEA | SRMR | Comparison to model 1: Δχ2 , Δdf (p) |
|
---|---|---|---|---|---|---|---|
1 | 3 latent variables (Quality, Productivity, CBM) |
1061.00 (153) | .90 | .88 | .11 | .083 | |
2 | 2 latent variables (Quality+CBM, Productivity) |
1262.21 (155) | .88 | .85 | .12 | .098 | 201.21, 1 (p < .001) |
3 | 2 latent variables (Productivity+CBM, Quality) |
1702.65 (155) | .83 | .79 | .14 | .12 | 641.65, 1 (p < .001) |
4 | 2 latent variables (Quality +Productivity, CBM) |
1344.67 (155) | .87 | .84 | .13 | .106 | 283.67,1 (p < .001) |
5 | 1 latent variable (Quality +Productivity+CBM) |
1727.22 (156) | .83 | .79 | .14 | .121 | 666.22, 2 (p < .001) |
Note. CBM = curriculum-based measurement