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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.
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.
The most commonly used rating scales for diagnosing ADHD are the Achenbach System of Empirically Based Assessment (ASEBA) and include the Child Behavior Checklist (CBCL) used for parents to rate their child's behaviour, the Youth Self Report Form (YSR) used for children to rate their own behaviour, and the Teacher Report Form (TRF) used for ...
Printable version; In other projects Wikidata item; Appearance. move to sidebar hide This article needs additional ... (BBS) software packages. [1] Multi-platform
The Center for Biological and Computational Learning (CBCL) BBC: Visions of the Future - February 29, 2008 - This is part of the excellent BBC series entitled "visions of the future". This short clip (3min) here shows work performed at CBCL (MIT) about a computational neuroscience model of the ventral stream of the visual cortex.
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.