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Journal of Intellectual and Developmental Disability, 2004
Existing estimates of the prevalence of intellectual disability vary substantially between different studies and among different populations (AIHW: Wen, 1997; Roeleveld, Zielhuis, & Gabreels, 1997; Leonard & Wen, 2002), often affected by differences in operational definitions and methods of estimation. For example, in Australia, operational…
Descriptors: Population Trends, Disabilities, Mental Retardation, Foreign Countries
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Dunlap, William R.; Sands, Deanna Iceman – British Journal of Special Education, 1989
A total of 274 British youth and adults with handicaps were administered the National Independent Living Skills assessment. Cluster analysis suggested that handicapped persons could be classified into four groups from lowest functioning to highest functioning, using independent living skills variables relating to living, work, and educational…
Descriptors: Ability Identification, Adolescents, Adults, Classification
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Glutting, Joseph J.; And Others – Journal of Special Education, 1992
Three studies examined subtest profiles of the Kaufman Assessment Battery for Children: the first developed a normative taxonomy of subtest patterns using cluster analysis; the second compared subtest patterns of children with various disabilities; and the third used core patterns to identify children with unusual patterns. Results opposed the…
Descriptors: Classification, Clinical Diagnosis, Cluster Analysis, Cognitive Tests
ERIC Clearinghouse on Handicapped and Gifted Children, Reston, VA. – 1987
Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems…
Descriptors: Artificial Intelligence, Behavior Problems, Classification, Computer Assisted Instruction