Table 6.
Estimates and fit statistics in the linear and non-linear models for relationship satisfaction.
| Model | -2 Log Likelihood | # Parameters | Δ Chi Square | p | AIC | BIC |
|---|---|---|---|---|---|---|
| Pattern correspondence models | ||||||
| Linear | 6240.57 | 8.00 | 6256.57 | 6294.79 | ||
| Quadratic | 6238.23 | 10.00 | 2.34 | 0.31 | 6258.23 | 6306.01 |
| Cubic | 6237.14 | 12.00 | 3.43 | 0.49 | 6261.14 | 6318.47 |
| Negative exponential | 6239.69 | 8.00 | - | - | 6255.69 | 6293.91 |
| Mean-level match models | ||||||
| Linear | 7482.33 | 11.00 | 7504.33 | 7558.99 | ||
| Quadratic | 7477.44 | 15.00 | 4.88 | 0.30 | 7507.44 | 7581.99 |
AIC, Akaike information criterion; BIC, Bayesian information criterion. Δ Chi Square results represent the results of the comparison with the linear model. Quadratic and cubic models included lower level effects (e.g., linear effect in the quadratic model).