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Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.
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Like on the preschool version, the school-age version of the CBCL (CBCL/6-18) instructs a respondent who knows the child well (usually a parent or other close caregiver) to report on the child's problems. Alternative measures are available for teachers (the Teacher's Report Form) and the child (the Youth Self Report, for youths age 11 to 18 years).
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Thomas M. Achenbach (1940-2023) was Professor of Psychiatry and Psychology and President of the nonprofit Research Center for Children, Youth, and Families at the University of Vermont. His research on syndromes of psychopathology gave rise to the terms “Internalizing” and “Externalizing”.
An early study of the PSC compared it with the Child Behavior Checklist (CBCL) developed by Achenbach and found kappa = 0.76 indicating a high level of agreement. [4] The original study of the PSC-17 compared its subscales to other validated parent report instruments and found good agreement.
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This rudimentary computerized interpretation is not far off from the methods used today. [3] In 1969, the first program able to generate narrative reports based on scale configurations was released. [4] By 1985, it was estimated that as many as 1.5 million MMPI protocols had been interpreted by computer-based test interpretation (CBTI) programs ...