Table 2.
Details of −2LL tests in the univariate fitting models for borderline personality.
| Fitting model | Compared with | −2LL(1) | df(2) | AIC(3) | Χ2(4) | ∆df(5) | P(6) |
|---|---|---|---|---|---|---|---|
| ACE | – | 47,370.075 | 6781 | 47,378.075 | NA | NA | NA |
| AE | ACE | 47,372.596 | 6782 | 47,378.596 | 2.52 | 1 | 0.112 |
| CE | ACE | 47,432.325 | 6782 | 47,438.325 | 62.25 | 1 | 3.0255e-15 |
| E | ACE | 47,694.535 | 6783 | 47,698.535 | 324.46 | 2 | 3.5030e-71 |
1. The negative log-likelihood subtracted for the more general model from the −2LL of the more restricted model. 2. Degrees of freedom (df) of the model. 3. The Akaike information criterion (AIC) is an estimator of prediction error and thereby relative quality of statistical models for a given set of data. 4. Χ2 test given in the −2LL test. 5. Difference of degrees of freedom equal to the difference in the number of estimated parameters in the two models. 6. P represents the p-value of the test performed.
Significant values are in bold.
In bold are the models with no difference from the original model, therefore, the best fitting models.