Table 4.
Fit indices and Model Comparisons for the Competing Measurement Models
| Model | df | χ2 | p | NFI | NNFI | CFI | SRMR | Δχ2 Model 1 |
|---|---|---|---|---|---|---|---|---|
| Pretreatment Measurement Models | ||||||||
| Six-Factor Model | ||||||||
| 1. L, A, DA, C, NVR, WP | 64 | 58.31 | .6771 | .965 | 1.000 | 1.000 | .0389 | |
| Five-Factor Models | ||||||||
| 2. A, C, NVR, WP, L+DA | 69 | 145.88 | .0000 | .927 | .995 | .965 | .0783 | 87.49* |
| 3. L, C, NVR, WP, A+DA | 69 | 199.78 | .0000 | .897 | .912 | .933 | .1325 | 91.47* |
| 4. L, A, NVR, WP, C+DA | 69 | 147.54 | .0000 | .926 | .952 | .964 | .0739 | 89.23* |
| 5. L, A, C, WP, NVR+DA | 69 | 155.82 | .0000 | .917 | .946 | .954 | .1803 | 97.51* |
| 6. L, A, C, NVR, WP+DA | 69 | 137.19 | .0000 | .931 | .960 | .970 | .0686 | 78.88* |
| One-Factor Model | ||||||||
| 7. General Factor | 77 | 634.07 | .0000 | .745 | .731 | .775 | .1753 | 575.76* |
| Posttest Measurement Models | ||||||||
| Two-Factor Models | ||||||||
| 1. Near Transfer, Far Transfer | 4 | 6.67 | .1541 | .981 | .982 | .993 | .0323 | |
| 2. Simple, Complex | 4 | 92.61 | .0000 | .729 | .472 | .736 | .1456 | 84.94* |
| One-Factor Model | ||||||||
| 3. General Math Factor | 5 | 83.41 | .0000 | .686 | .384 | .692 | .1423 | 76.74* |
Note. N = 122. For pretreatment models, L = language factor; A = attention factor; DA = dynamic assessment factor; C = calculation factor; NVR = nonverbal reasoning factor; S = story problem factor. NFI = norm fit index; NNFI = nonnormed fit index; CFI = comparative fit index; SRMR = standardized root-mean-square residual.
p < .001.