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A review of methodological issues in the differential diagnosis of autism spectrum disorders in children
Affiliation:1. University of California, Los Angeles, United States;2. Loma Linda University, United States;1. Division of General Pediatrics, Doernbecher Children''s Hospital Oregon Health & Science University, Portland, OR;2. School of Public Health, Oregon State University, Corvallis, OR;1. Center for Autism and Related Disorders, Kennedy Krieger Institute, Department of Psychiatry, Johns Hopkins University School of Medicine, 3901 Greenspring Avenue, Baltimore, MD 21211, USA;2. Center for Autism and Related Disorders, Kennedy Krieger Institute, 3901 Greenspring Avenue, Baltimore, MD 21211, USA;3. Thompson Center for Autism and Neurodevelopmental Disorders, Department of Health Psychology, University of Missouri, 205 Portland Street, Columbia, MO 65201, USA;4. Center for Disabilities Studies, University of Delaware, 461 Wyoming Road, Newark, DE 19716, USA;5. The EMMES Corporation, 401N. Washington Street, Suite 700, Rockville, MD 20850, USA;6. Cincinnati Children''s Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnett Avenue, Cincinnati, OH 45229-3026, USA;1. University of Manitoba and St. Amant Research Centre, Canada;2. Fundación Planeta Imaginario, Spain
Abstract:The development of standardized tests to assess autism, particularly in young children, is a topic of considerable interest in the research community. Recent years have seen an exponential growth in scales for differential diagnosis. Particular emphasis has been placed on defining and better delineating the symptoms of the disorder relative to other forms of autism spectrum disorder (ASD) and intellectual disability (ID), and identifying the condition at the earliest possible age. The general consensus is that scaling methods are the core means of establishing a diagnosis. Thus, analyzing the research activity in the area for strengths and weaknesses in methodology would appear to be in order. A critical overview of existing psychometric properties of these tests is presented with suggestions for future research on the topic.
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