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Table 1 Criteria for statistical interpretation
| Statistic | Interpretation | ||
|---|---|---|---|
| Strength of association | ω2 | ≈ 0.01 | small association |
| ≈ 0.06 | medium association | ||
| ≈ 0.14 | large association | ||
| φc | < 0.3 | little or no association | |
| 0.3 to 0.7 | weak association | ||
| 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 |
| Nagelkerke's R2 | - | the association between predictor variables and the outcome variable. Statistic ranges from 0 to 1 with higher scores indicating stronger associations. | |
| % 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 | |
| sensitivity | - | the proportion of true positives or the proportion of cases correctly identified by the test as meeting the response category | |
| specificity | - | the proportion of true negatives or the proportion of cases correctly identified by the test as meeting the reference category | |
| 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) |
