Predictors, standardised, and unstandardised coefficients for the discriminant analysis model and logistic regression model.

Note:1The standardised discriminant function coefficients serve the same purpose as beta weights in multiple regressions (partial coefficient): they indicate the relative importance of the independent variable in predicting disability status within the study population. They allow you to compare variables measured on different scales. Coefficients with large absolute values correspond to variables with greater discriminating ability2The structure matrix table shows the correlations of each variable with each discriminant function; the correlations then act similarly to factor loadings in factor analysisagreater score = worse healthbSDQ—peer problems was not a significant predictor in the logistic regression modelSPPA = Self—Perception Profile for Adolescents.Predictors, standardised, and unstandardised coefficients for the discriminant analysis model and logistic regression model.