Table 1.
Model Fit Statistics
| Difference with M1 | Each Model | |||||||
|---|---|---|---|---|---|---|---|---|
| χ 2 | df | Direction | χ 2 | df | AIC | CFI | RMSEA | |
| M0: Measurement Model | NA | NA | NA | 129.2 | 90 | NA | 0.985 | 0.025 |
| M1: Cognition/Negative Symptom/ Function Model | NA | NA | NA | 206.5 | 98 | 26695.3 | 0.958 | 0.040 |
| M2: Including Neural Indices Model | 49.23 | 2 | M2 > M1, P = 2.0×10−11* | 147.1 | 96 | 26639.9 | 0.980 | 0.028 |
| M3: Direct Neural Indices to Negative Symptom Model | 62.70 | 4 | M3 > M1, P = 7.9×10−−13* | 136.3 | 94 | 26633.1 | 0.984 | 0.025 |
| M4: Direct Neural Indices to Negative Symptom/Function Model | 64.61 | 6 | M4 > M1, P = 5.2×10−12* | 135.8 | 92 | 26636.7 | 0.983 | 0.026 |
| M5: Direct SD to Negative Symptom Model: Final Model | 59.94 | 3 | M5 > M1, P = 6.0×10−13* | 136.7 | 95 | 26631.5 | 0.984 | 0.025 |
AIC, Akaike information criterion; CFI, comparative fit index; ERP, event-related potential; NA, not applicable; RMSEA, root mean square error of approximation; SD, sensory discrimination.
*Statistical significance of P-value < .05.