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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.
The CBCL also has a few items that only contribute to the Total score, which were considered clinically important even though too rare to lump into the syndrome scales. The CBCL also uses a normative sample to create standard scores. These compare the raw score to what would be typical compared to responses for youths of the same gender and ...
Achenbach has authored more than 300 publications, including over 30 books, monographs, and assessment manuals. Bérubé, R.L., & Achenbach, T.M. (2015). Bibliography of published studies using the Achenbach System of Empirically Based Assessment (ASEBA). Burlington, VT: University of Vermont Research Center for Children, Youth, and Families.
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Currently, CBTI programs fall into one of two categories: actuarial assessment programs or automated assessment programs. Actuarial assessment programs are based on statistical or actuarial prediction (e.g., statistical analyses, linear regression equations and Bayesian rules), which is empirically based while automated assessment programs consist of a series of if-then statements derived by ...
The foal was only a few hours old when her rescuer pulled her out of the icy stream in Kosciuszko National Park in New South Wales, Australia. The district is known for its alpine sports and rocky ...
Cutaneous B-cell lymphomas (CBCL), more recently termed Primary cutaneous B-cell lymphomas and lymphoproliferative disorders (PCBCLPD), are a group of disorders that typically present as skin lesions consisting of proliferating B-cells. B-cells are a type of lymphocyte involved in regulating immune responses.
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