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I‐CAN: The Classification and Prediction of Support Needs
Author(s) -
Arnold Samuel R. C.,
Riches Vivienne C.,
Stancliffe Roger J.
Publication year - 2014
Publication title -
journal of applied research in intellectual disabilities
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 63
eISSN - 1468-3148
pISSN - 1360-2322
DOI - 10.1111/jar.12055
Subject(s) - intellectual disability , psychology , adaptive behaviour , association (psychology) , consistency (knowledge bases) , artificial intelligence , sample (material) , decision support system , internal consistency , computer science , machine learning , applied psychology , clinical psychology , developmental psychology , psychometrics , psychiatry , chemistry , chromatography , psychotherapist
Background Since 1992, the diagnosis and classification of intellectual disability has been dependent upon three constructs: intelligence, adaptive behaviour and support needs (Luckasson et al . 1992. Mental Retardation: Definition, Classification and Systems of Support. American Association on Intellectual and Developmental Disability, Washington, DC). While the methods and instruments to measure intelligence and adaptive behaviour are well established and generally accepted, the measurement and classification of support needs is still in its infancy. This article explores the measurement and classification of support needs. Method A study is presented comparing scores on the ICF ( WHO , 2001) based I‐ CAN v4.2 support needs assessment and planning tool with expert clinical judgment using a proposed classification of support needs. A logical classification algorithm was developed and validated on a separate sample. Results Good internal consistency (range 0.73–0.91, N = 186) and criterion validity (κ = 0.94, n = 49) were found. Conclusions Further advances in our understanding and measurement of support needs could change the way we assess, describe and classify disability.