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Zheng, Shuting – ProQuest LLC, 2018
Children with autism spectrum disorder (ASD) show a wide range of developmental characteristics and differ from each other in terms of symptom presentation. This heterogeneity leads to difficulties when trying to individualize treatments that work for individual children with ASD. Therefore, identifying and understanding subgroups of children on…
Descriptors: Preschool Children, Autism, Pervasive Developmental Disorders, Cluster Grouping
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Sipes, Megan; Matson, Johnny L. – Journal of Autism and Developmental Disorders, 2014
With the publication of the "Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition", autism spectrum disorders are defined by two symptom clusters (social communication and restricted/repetitive behaviors) instead of the current three clusters. The current study examined the structure of the Baby and Infant Screen for…
Descriptors: Toddlers, Factor Structure, Pervasive Developmental Disorders, Autism
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Bishop-Fitzpatrick, Lauren; Hong, Jinkuk; Smith, Leann E.; Makuch, Renee A.; Greenberg, Jan S.; Mailick, Marsha R. – Journal of Autism and Developmental Disorders, 2016
This study aims to extend the definition of quality of life (QoL) for adults with autism spectrum disorder (ASD, n = 180, ages 23-60) by: (1) characterizing the heterogeneity of normative outcomes (employment, independent living, social engagement) and objective QoL (physical health, neighborhood quality, family contact, mental health issues); and…
Descriptors: Quality of Life, Pervasive Developmental Disorders, Normalization (Disabilities), Adults
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Sevin, Jay A.; And Others – Journal of Autism and Developmental Disorders, 1995
A cluster analytic study was conducted to derive behaviorally homogeneous subtypes of pervasive developmental disorders (PDD) based on a range of behavioral symptoms that characterize autism. Analysis of data on 34 children with PDD, 27 of whom met criteria for autism, indicated 4 distinct groups differing on independent measures of social,…
Descriptors: Behavior Patterns, Children, Classification, Cluster Analysis