Table 3.
Estimates and fit statistics in the linear and non-linear models for acceptance.
| Model | -2 Log Likelihood | # Parameters | Δ Chi Square | p | AIC | BIC |
|---|---|---|---|---|---|---|
| Pattern correspondence models | ||||||
| Linear | 700.06 | 8.00 | 716.06 | 754.26 | ||
| Quadratic | 695.47 | 10.00 | 4.59 | 0.10 | 715.47 | 763.22 |
| Cubic | 690.18 | 12.00 | 9.88 | 0.04 | 714.18 | 771.48 |
| Negative exponential | 698.46 | 8.00 | - | - | 714.46 | 752.66 |
| Mean-level match models | ||||||
| Linear | 816.83 | 11.00 | 838.83 | 893.48 | ||
| Quadratic | 814.29 | 15.00 | 2.53 | 0.64 | 844.29 | 918.81 |
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).