Table 2.
Latent Change Score Model Comparisons
| Description | Parameters | Deviance | CFI | BIC | RMSEA | Likelihood ratio tests | ||
|---|---|---|---|---|---|---|---|---|
| Model | Comparison | ∆χ2 (df) | ||||||
| No Covariates | ||||||||
| M0a | No Coupling | 19 | 2,321,187 | 0.958 | 2,321,917 | 0.009 | ||
| M0b | Memory → ∆Depression | 22 | 2,320,070 | 0.971 | 2,320,835 | 0.007 | M0a vs M0b | 1117 (3) |
| M0d | Bi-directional Coupling | 25 | 2,319,870 | 0.974 | 2,320,669 | 0.007 | M0b vs M0d | 200 (3) |
| Covariates = Sex, Education, Re-test, Smoking, BMI | ||||||||
| M1a | No Coupling | 45 | 3,456,192 | 0.972 | 3,457,596 | 0.006 | ||
| M1b | Memory → ∆Depression | 48 | 3,455,942 | 0.974 | 3,457,381 | 0.006 | M1a vs M1b | 250 (3) |
| M1d | Bi-directional Coupling | 51 | 3,455,892 | 0.974 | 3,457,366 | 0.006 | M1b vs M1d | 50 (3) |
Note: CFI = Comparative fit index; BIC = Bayesian information criterion; RMSEA = Root mean square error of approximation: 90% RMSEA confidence intervals were all within ±.0005 of reported estimates. ∆χ2 (df) = change in deviance per degrees freedom: Higher values indicate the model with more parameters fit the data better. ∆ = “change in”. Models with a uni-directional coupling for Depression → ∆Memory failed to converge and so are not included here.