Table 2.
Fit Indices for Latent Growth Curve Models
| Model | AIC | BIC | Chi square | RMSEA [CI] | CFI | SRMR |
|---|---|---|---|---|---|---|
| DEP: Unconditional constant | 254,265 | 254,326 | χ 2 = 631.63, df = 19, p < .001 | 0.048 [0.044, 0.051] | 0.98 | 0.032 |
| DEP: Unconditional linear | 253,814 | 253,897 | χ 2 = 174.50, df = 16, p < .001 | 0.026 [0.023, 0.030] | 0.99 | 0.020 |
| DEP: Unconditional quadratic | 253,722 | 253,835 | χ 2 = 74.97, df = 12, p < .001 | 0.019 [0.015, 0.023] | 0.99 | 0.013 |
| DEP: Preferred specification | 245,125 | 245,532 | χ 2 = 739.99, df = 219, p < .001 | 0.013 [0.012, 0.014] | 0.98 | 0.009 |
| SRH: Unconditional constant | 174,644 | 174,704 | χ 2 = 2700.40, df = 19, p < . 001 | 0.099 [0.096, 0.102] | 0.94 | 0.057 |
| SRH: Unconditional linear | 172,305 | 172,388 | χ 2 = 355.32, df = 16, p < .001 | 0.038 [0.035, 0.042] | 0.99 | 0.025 |
| SRH: Unconditional quadratic | 172,089 | 172,202 | χ 2 = 131.21, df = 12, p < .001 | 0.026 [0.022, 0.030] | 0.99 | 0.010 |
| SRH: Preferred specification | 164,910 | 165,190 | χ 2 = 679.46, df = 230, p < .001 | 0.012 [0.011, 0.013] | 0.99 | 0.006 |
| CRP: Unconditional constant | 103,128 | 103,162 | χ 2 = 24.34, df = 4, p < .001 | 0.028 [0.018, 0.039] | 0.95 | 0.022 |
| CRP: Preferred specification | 103,008 | 103,151 | χ 2 = 109.86, df = 54, p < .001 | 0.013 [0.009, 0.016] | 0.91 | 0.007 |
Note. CRP = C-reactive protein; DEP = depressive symptoms; SRH = self-rated health.