Strength of association

ω^{2}

≈ 0.01

small association

 
≈ 0.06

medium association

 
≈ 0.14

large association


φ_{c}

< 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 nonsignificant


Nagelkerke's R^{2}



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 cutoff 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)
