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Lin, E.; Balogh, R.; Cobigo, V.; Ouellette-Kuntz, H.; Wilton, A. S.; Lunsky, Y. – Journal of Intellectual Disability Research, 2013
Background: Individuals with intellectual and developmental disabilities (IDD) experience high rates of physical and mental health problems; yet their health care is often inadequate. Information about their characteristics and health services needs is critical for planning efficient and equitable services. A logical source of such information is…
Descriptors: Mental Retardation, Developmental Disabilities, Disability Identification, Data Analysis
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Miles, T. R.; Haslum, M. N.; Wheeler, T. J. – Annals of Dyslexia, 1998
A study involving 11,804 British children (age 10) found that when specified criteria for dyslexia were used, 269 children qualified as dyslexic. These included 223 boys and 46 girls, for a ratio of 4.51 to 1. Difficulties in interpreting these data are discussed and a defense of the criteria is provided. (Author/CR)
Descriptors: Children, Clinical Diagnosis, Data Analysis, Data Interpretation
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Naremore, Rita C. – Topics in Language Disorders, 1997
Explains how many of the narratives told by children are mapped onto frameworks carried in long-term memory. Assessment methods that speech-language pathologists can use to determine whether a child can use narrative frameworks and how to explain the assessment results are discussed. (Author/CR)
Descriptors: Children, Data Interpretation, Disability Identification, Evaluation Methods
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Lewit, Eugene M.; Baker, Linda Schuurmann – Future of Children, 1996
Examines data collected by the federal Office of Special Education Programs (OSEP) on the identification and classification of special education students. Analysis suggests that the OSEP count data, by themselves, do not indicate how many children have disabilities or what types of disabilities they have, and the data cannot by used to evaluate…
Descriptors: Classification, Comparative Analysis, Data Interpretation, Disability Identification