Table 1.
Confirmatory Factor Analysis of Negative Symptoms: Model Fit Results
| Parameters | Log-likelihood | AIC | BIC | χ 2 value (df) | CFI | RMSEA [90% CI] | SRMR | |
|---|---|---|---|---|---|---|---|---|
| 16 years | ||||||||
| 1-factor model | 24 | –28 955.59 | 57 959.18 | 58 115.47 | 1378.97 (20), P < .001 | 0.78 | 0.18 [0.17, 0.19] | 0.08 |
| 2-factor model | 25 | –27 993.87 | 56 037.73 | 56 200.53 | 547.37 (19), P < .001 | 0.91 | 0.12 [0.11, 0.12] | 0.06 |
| 4-factor model | 30 | –27 479.64 | 55 019.27 | 55 214.63 | 115.81 (14), P < .001 | 0.98 | 0.06 [0.05, 0.07] | 0.03 |
| 5-factor model | 32 | –27 382.81 | 54 829.63 | 55 038.01 | 31.48 (12), P < .001 | 0.99 | 0.03 [0.02, 0.04] | 0.01 |
| 5H-factor model | 28 | –27 509.06 | 55 074.12 | 55 256.46 | 139.67 (16), P < .001 | 0.98 | 0.06 [0.05, 0.07] | 0.03 |
| 17 years | ||||||||
| 1-factor model | 24 | –9753.86 | 19 555.72 | 19 682.73 | 444.50 (20), P < .001 | 0.85 | 0.17 [0.15, 0.18] | 0.06 |
| 2-factor model | 25 | –9463.35 | 18 976.70 | 19 109.01 | 148.52 (19), P < .001 | 0.95 | 0.10 [0.08, 0.11] | 0.04 |
| 4-factor model | 30 | –9333.55 | 18 727.11 | 18 885.88 | 16.75 (14), P = .27 | 1.00 | 0.02 [0.00, 0.04] | 0.02 |
| 5-factor model | 32 | –9325.68 | 18 715.35 | 18 884.71 | 8.40 (12), P = .75 | 1.00 | 0.00 [0.00, 0.03] | 0.01 |
| 5H-factor model | 28 | –9336.36 | 18 728.73 | 18 876.91 | 19.59 (16), P = .24 | 1.00 | 0.02 [0.00, 0.04] | 0.02 |
| 22 years | ||||||||
| 1-factor model | 24 | –34 446.79 | 68 941.58 | 69 098.84 | 940.15 (20), P < .001 | 0.86 | 0.14 [0.13, 0.15] | 0.06 |
| 2-factor model | 25 | –33 945.17 | 67 940.34 | 68 104.15 | 480.38 (19), P < .001 | 0.93 | 0.10 [0.09, 0.11] | 0.05 |
| 4-factor model | 29 | –33 658.92 | 67 375.84 | 67 565.86 | 217.03 (15), P < .001 | 0.97 | 0.07 [0.06, 0.08] | 0.03 |
| 5-factor model | 32 | –33 554.72 | 67 173.44 | 67 383.11 | 110.13 (12), P < .001 | 0.99 | 0.06 [0.05, 0.07] | 0.02 |
| 5H-factor model | 28 | –33 633.77 | 67 323.54 | 67 507.01 | 185.89 (16), P < .001 | 0.98 | 0.07 [0.06, 0.07] | 0.03 |
Note: N age 16 = 4974; N age 17 = 1469; N age 22 = 5179. Robust maximum likelihood estimation (MLR). 5H-factor model, 5-factor hierarchical model; AIC, Akaike’s Information Criterion; BIC, Bayesian Information Criterion; χ 2, chi-square value; CFI, comparative fit index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual. Baseline models: At 16, χ 2 (28) = 5626.51, P < .001. At 17, χ 2 (28) = 2643.21, P < .001. At 22, χ 2 (28) = 6163.17, P < .001. Bold typeset represents best fitting model at each age.