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ERIC Number: EJ733741
Record Type: Journal
Publication Date: 2006
Pages: 9
Abstractor: Author
ISSN: ISSN-1537-4416
From CBCL to DSM: A Comparison of Two Methods to Screen for DSM-IV Diagnoses Using CBCL Data
Krol, Nicole P. C. M.; De Bruyn, Eric E. J.; Coolen, Jolanda C.; van Aarle, Edward J. M.
Journal of Clinical Child and Adolescent Psychology, v35 n1 p127-135 2006
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-IV) interview in a clinical sample was examined. DISC-IV interviews and CBCL reports 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.
Lawrence Erlbaum Associates, Inc., Journal Subscription Department, 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579 or 201-258-2200; Fax: 201-236-0072; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Diagnostic Interview Schedule for Children; Child Behavior Checklist