The screening efficiency of 2 methods to convert Child Behavior Checklist (CBCL) assessment data into Diagnostic and Statistical Manual of Mental Disorders (4th ed. [DSM-IV]; American Psychiatric Association, 1994) diagnoses was compared. The Machine-Aided Diagnosis (MAD) method converts CBCL input data directly into DSM-IV symptom criteria. The Achenbach System of Empirically Based Assessment (ASEBA) proceeds more indirectly and uses DSM-oriented scales. The power of the 2 methods to predict DSM-IV diagnoses obtained via administration of the structured Diagnostic Interview Schedule for Children (DISC-TV) interview in a clinical sample was examined. DISC-IV interviews and CBCL repons from parents of 44 children, 25 boys, and 19 girls, ages 6 to 17 were used. The results showed comparable levels of predictive power for the 2 methods. Both methods were able to predict DSM-IV diagnoses and therefore can be used for screening DSM-IV diagnoses. Copyright © 2006 by Lawrence Erlbaum Associates, Inc.
CITATION STYLE
Krol, N. P. C. M., De Bruyn, E. E. J., Coolen, J. C., & Van Aarle, E. J. M. (2006). From CBCL to DSM: A comparison of two methods to screen for DSM-IV diagnoses using CBCL data. Journal of Clinical Child and Adolescent Psychology, 35(1), 127–135. https://doi.org/10.1207/s15374424jccp3501_11
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