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Indices of model fit, where q is the total number of model parameters.
| Model | q | -2lnL | AIC | Models compared | X2(df) | p |
|---|---|---|---|---|---|---|
| No growth | 3 | 2371.2 | 2377.2 | |||
| Linear | 6 | 2228.3 | 2240.3 | No growth vs linear | 142.9(3) | <.001 |
| Quadratic | 10 | 2182.2 | 2202.2 | Linear vs quadratic | 46.1(4) | <.001 |
-2lnL is -2 times the log likelihood. AIC is the Akaike information criterion. Smaller values of the AIC indicate better fitting models. X2(df) is a deviance statistic for model fit comparisons.
