Table 1 Criteria for statistical interpretation
| Â | Statistic | Â | Interpretation |
|---|---|---|---|
Strength of association | ω2 | ≈ 0.01 | small association |
|  |  | ≈ 0.06 | medium association |
|  |  | ≈ 0.14 | large association |
|  | φc | < 0.3 | little or no association |
| Â | Â | 0.3 to 0.7 | weak association |
| Â | Â | 0.7 to 1.0 | strong association |
Regression model evaluation | deviance statistic | - | significance of unexplained (residual) variance in the dependent variable; thus is desired to be non-significant |
| Â | Nagelkerke's R2 | - | the association between predictor variables and the outcome variable. Statistic ranges from 0 to 1 with higher scores indicating stronger associations. |
| Â | % of correctly classified cases | - | calculated at the start of the procedure and at the end of the analysis using the cut-off point of 0.5 for the estimated probability of the outcome variable |
| Â | sensitivity | - | the proportion of true positives or the proportion of cases correctly identified by the test as meeting the response category |
| Â | specificity | - | the proportion of true negatives or the proportion of cases correctly identified by the test as meeting the reference category |
| Â | c statistic | - | varies from 0.5 (the models predictions are no better than chance) to 1 (the model always assigns the higher probabilities to correct cases than incorrect ones) |