Screening for disruptive behavior syndromes in children: the application of latent class analyses and implications for prevention programs.

The predictive accuracy of classifying children at risk for disruptive disorders through latent class analyses (LCA) was evaluated. Child Behavior Checklist/4-18 (T. M. Achenbach, 1991) items, reflecting symptoms of Diagnostic and Statistical Manual of Mental Disorders (4th ed., American Psychiatric Association, 1994) defined disruptive disorders, alone and in combination with other child and familial risk factors, were used to predict children's risk for disruptive disorder. Predictive accuracy reached a positive predictive value of 69%. Children incorrectly classified (false positive and false negative) were compared with correctly classified children (true positive and true negative) on risk factors in the family context to test whether the screening procedure could be improved through a multiple-gating procedure. The differences in familial context factors between these children were limited, and no clear indications were found on how to use familial context factors to improve the screening procedure after the initial classification by LCA.