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Achenbach System of Empirically Based Assessment

Medical diagnostic method

  • 3 min read
  • 3 chapters

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Through Diagnostic and Statistical Manual of Mental Disorders and Machine learning

The ASEBA is used in a variety of settings, including mental health, school, research, and forensic settings.

The ASEBA exists for multiple age groups, including preschool-aged children, school-aged children, adults, and older adults. Scores for individuals in each age group are norm-referenced. The ASEBA has been translated in one hundred languages, and has a variety of multicultural applications. Each report form in the ASEBA System has 113 items, but there is not a one-to-one correspondence between each individual item across the different report forms.

History

The ASEBA was created by Thomas Achenbach in 1966 as a response to the Diagnostic and Statistical Manual of Mental Disorders (DSM-I). This first edition of the DSM contained information on only 60 disorders; the only two childhood disorders considered were Adjustment Reaction of Childhood and Schizophrenic Reaction, Childhood Type.

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. As a result of this, the ASEBA was able to identify more syndromes than originally identified in the DSM-I. Additionally, this reliance on real-world case records allows the ASEBA to interpret scores in relation to age, gender, and ethnic/racial norms, as symptom/disorder severity and meaning vary across cultures.

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