Table 8.
Nested Comparison of Model Fit for Ability–ECB Factor Prediction Model
| Comparison to measurement model |
Comparison to previous model |
||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model step | χ 2 | df | p | GFI | p(RMSEA) | RMR | CFI | NFI | NNFI | RFI | IFI | χ 2 | df | p | χ 2 | df | p |
| Measurement model | 225.17 | 142 | .00 | .89 | .06 | .04 | .97 | .92 | .95 | .89 | .97 | ||||||
| MODI: Hypothesized model | 413.16 | 160 | .00 | .81 | .10 | .12 | .90 | .84 | .88 | .81 | .90 | 187.99 | 18 | .00 | |||
| MOD2: Add path from basic IR to everyday DM | 331.16 | 159 | .00 | .84 | .08 | .07 | .93 | .88 | .92 | .85 | .93 | 105.99 | 17 | .00 | 82.00 | 1 | .00 |
| MOD3: Add path from basic IR to everyday WM | 312.88 | 158 | .00 | .84 | .08 | .06 | .94 | .88 | .92 | .86 | .94 | 87.71 | 16 | .00 | 18.28 | 1 | .00 |
| MOD4: Add path from basic IR to everyday Knowledge | 299.70 | 157 | .00 | .85 | .07 | .06 | .94 | .89 | .93 | .86 | .94 | 75.53 | 15 | .00 | 13.18 | 1 | .00 |
| MODS: Add path from basic WM to everyday Knowledge | 291.38 | 156 | .00 | .85 | .07 | .06 | .94 | .89 | .93 | .87 | .95 | 66.21 | 14 | .00 | 8.32 | 1 | .00 |
| MOD6: Add path from basic Knowledge to everyday DM | 288.83 | 155 | .00 | .86 | .07 | .06 | .95 | .89 | .93 | .87 | .95 | 63.66 | 13 | .00 | 2.55 | 1 | .11 |
| MOD7: Add path from basic Knowledge to everyday IR | 274.33 | 154 | .00 | .86 | .07 | .05 | .95 | .90 | .94 | .87 | .95 | 49.16 | 12 | .00 | 14.56 | 1 | .00 |
| MODS: Add path from basic DM to everyday IR | 266.35 | 153 | .00 | .87 | .07 | .05 | .95 | .90 | .94 | .88 | .95 | 41.18 | 11 | .00 | 7.98 | 1 | .00 |
| MOD9: Add path from basic DM to everyday Knowledge | 256.74 | 152 | .00 | .88 | .06 | .05 | .96 | .90 | .95 | .88 | .96 | 31.57 | 10 | .00 | 9.61 | 1 | .00 |
| MOD 10: Drop path from basic WM to everyday Knowledge | 260.04 | 153 | .00 | .87 | .06 | .05 | .96 | .90 | .95 | .88 | .96 | 34.87 | 11 | .00 | 3.30 | 1 | .07 |
| MODI 1: Drop path from basic IR to everyday Knowledge | 260.25 | 154 | .00 | .87 | .06 | .05 | .96 | .90 | .95 | .88 | .96 | 35.08 | 12 | .00 | .21 | 1 | .65 |
| MOD 12: Add path from everyday Knowledge to everyday IR | 239.64 | 153 | .00 | .88 | .06 | .05 | .96 | .91 | .96 | .89 | .97 | 14.47 | 11 | .21 | .21 | 1 | .00 |
| MOD 13: Drop path from basic Knowledge to everyday IR | 239.77 | 154 | .00 | .88 | .06 | .05 | .97 | .91 | .96 | .89 | .97 | 14.60 | 12 | .26 | .13 | 1 | .71 |
| MOD14: Drop path from basic DM to everyday IR | 241.34 | 155 | .00 | .88 | .06 | .05 | .96 | .91 | .96 | .89 | .91 | 16.17 | 13 | .24 | 1.57 | 1 | .21 |
Note. N = 174. ECB = Everyday Cognition Battery; GFI = goodness-of-fit index; RMSEA = root mean square error of approximation; RMR = root mean square residual; CFI = comparative fit index; NFI = normed fit index; NNFI = nonnormed fit index; RFI = relative fit index; IFI = incremental fit index; MODI, MOD2, MOD3, MOD4, MODS, MOD6, MOD7, MOD8, MOD9, MOD10, MOD11, MOD12, MOD13, and MOD14 = Model 1–Model 14, respectively; IR = Inductive Reasoning; DM = Declarative Memory; WM = Working Memory.