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Stevenson, Kathryn; Cornell, Katie; Hinchcliffe, Vivian – Support for Learning, 2016
Understanding what autism means on a personal level can be an important process for young people on the autistic spectrum, and being able to reflect on this and discuss with autistic peers can be particularly helpful. However, opportunities may be restricted by reluctance to talk about diagnosis and because of difficulties in communication…
Descriptors: Autism, Pervasive Developmental Disorders, Therapeutic Environment, Milieu Therapy
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Bilder, Deborah A.; Bakian, Amanda V.; Stevenson, David A.; Carbone, Paul S.; Cunniff, Christopher; Goodman, Alyson B.; McMahon, William M.; Fisher, Nicole P.; Viskochil, David – Journal of Autism and Developmental Disorders, 2016
Neurofibromatosis type 1 (NF1) is an inherited neurocutaneous disorder associated with neurodevelopmental disorders including autism spectrum disorder (ASD). The frequency of ASD/NF1 co-occurrence has been subject to debate since the 1980s. This relationship was investigated in a large population-based sample of 8-year-old children identified with…
Descriptors: Autism, Pervasive Developmental Disorders, Incidence, Elementary School Students
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Barnard-Brak, Lucy; Richman, David M.; Chesnut, Steven Randall; Little, Todd D. – School Psychology Quarterly, 2016
In analyzing data from the National Database for Autism Research, we utilized Mokken scaling techniques as a means of creating a more effective and efficient screening procedure for autism spectrum disorder (ASD) via the Social Communication Questionnaire (SCQ). With a sample of 1,040, approximately 80% (n = 827) of the sample were males while…
Descriptors: Autism, Pervasive Developmental Disorders, Communication Problems, Screening Tests
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Tager-Flusberg, Helen – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Identifying risk factors associated with neurodevelopmental disorders is an important line of research, as it will lead to earlier identification of children who could benefit from interventions that support optimal developmental outcomes. The primary goal of this review was to summarize research on risk factors associated with autism…
Descriptors: At Risk Persons, Neurological Impairments, Developmental Disabilities, Disability Identification
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Ouellette-Kuntz, Hélène; Coo, Helen; Lam, Miu; Breitenbach, Marlene M.; Hennessey, Paula E.; Jackman, Paulette D.; Lewis, M. E. Suzanne; Dewey, Deborah; Bernier, François P.; Chung, Amy M. – Journal of Autism and Developmental Disorders, 2014
In 2002/2003, the National Epidemiologic Database for the Study of Autism in Canada started capturing information on children diagnosed with autism in different regions of the country. Based on data collected through 2008 in Newfoundland and Labrador and 2010 in Prince Edward Island and Southeastern Ontario, the estimated average annual percent…
Descriptors: Foreign Countries, Autism, Children, Epidemiology
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Vanvuchelen, Marleen; Van Schuerbeeck, Lise; Braeken, Marijke A. K. A. – Autism: The International Journal of Research and Practice, 2017
Children with autism spectrum disorders are at risk for motor problems. However, this area is often overlooked in the developmental evaluation in autism diagnostic clinics. An alternative can be to identify children who should receive intensive motor assessment by using a parent-based screener. The aim of this study was to examine whether the Ages…
Descriptors: Autism, Pervasive Developmental Disorders, Screening Tests, At Risk Persons
Cederberg, Charles D.; Gann, Lianne C.; Foley-Nicpon, Megan; Sussman, Zachary – Gifted Child Quarterly, 2018
High-ability youth diagnosed with autism spectrum disorder (ASD) historically have been neglected within samples validating ASD screening measures, and consensus for what constitutes high ability has not been established. The Autism Spectrum Screening Questionnaire (ASSQ) and Social Responsiveness Scale (SRS) are two common screening tools for ASD…
Descriptors: Autism, Pervasive Developmental Disorders, Screening Tests, Questionnaires
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Crais, Elizabeth; McComish, Cara S.; Kertcher, Emily F.; Hooper, Steve; Pretzel, Rebecca; Mendez, Lucia; Villalobos, Michelle – Focus on Autism and Other Developmental Disabilities, 2020
This study explored caregivers' perspectives on facilitators and barriers to screening, diagnosis, and identifying and accessing other services for young children with autism spectrum disorder (ASD); and caregivers' suggestions for improving the process. Eight focus groups with 55 caregivers were conducted. Four groups had a mix of White, African…
Descriptors: Autism, Pervasive Developmental Disorders, Disability Identification, Clinical Diagnosis
Connell, Emma; MartinRogers, Nicole; Petersen, Amanda – Wilder Research, 2020
There are a variety of services and supports in Minnesota for children and youth with autism who are age 0-21. These include services and supports provided by state agencies, including the Minnesota Department of Human Services, Minnesota Department of Education, Minnesota Department of Health, and the Minnesota Department of Employment and…
Descriptors: Children, Youth, Autism, Pervasive Developmental Disorders
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Barton, Erin E.; Harris, Bryn; Leech, Nancy – Infants and Young Children, 2016
Autism spectrum disorder (ASD) occurs in all racial, ethnic, and socioeconomic groups; however, children from culturally and linguistically diverse groups are, on average, misdiagnosed more often and identified later than White children. Understanding current practices and procedures is important for ensuring the use of evidence-based…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Minority Group Children
Wilkinson, Lee A. – Jessica Kingsley Publishers, 2016
Fully updated to reflect DSM-5 and current assessment tools, procedures and research, this award-winning book provides a practical and scientifically-based approach to identifying, assessing, and treating children and adolescents with an Autism Spectrum Disorder (ASD) in school settings. Integrating current research evidence with theory and…
Descriptors: Autism, Pervasive Developmental Disorders, Screening Tests, Disability Identification
Koegel, Robert L., Ed.; Koegel, Lynn Kern, Ed. – Brookes Publishing Company, 2019
One of the most respected and widely used autism interventions, Pivotal Response Treatment uses natural learning opportunities to modify key behaviors in children--leading to widespread positive effects on communication, behavior, and social skills. Now the pioneering experts behind PRT have created a comprehensive modern guide to this…
Descriptors: Autism, Pervasive Developmental Disorders, Intervention, Communication Skills
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Gabard-Durnam, Laurel; Tierney, Adrienne L.; Vogel-Farley, Vanessa; Tager-Flusberg, Helen; Nelson, Charles A. – Journal of Autism and Developmental Disorders, 2015
An emerging focus of research on autism spectrum disorder (ASD) targets the identification of early-developing ASD endophenotypes using infant siblings of affected children. One potential neural endophenotype is resting frontal electroencephalogram (EEG) alpha asymmetry, a metric of hemispheric organization. Here, we examined the development of…
Descriptors: Pervasive Developmental Disorders, Autism, Infants, At Risk Persons
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Schreibman, Laura; Dawson, Geraldine; Stahmer, Aubyn C.; Landa, Rebecca; Rogers, Sally J.; McGee, Gail G.; Kasari, Connie; Ingersoll, Brooke; Kaiser, Ann P.; Bruinsma, Yvonne; McNerney, Erin; Wetherby, Amy; Halladay, Alycia – Journal of Autism and Developmental Disorders, 2015
Earlier autism diagnosis, the importance of early intervention, and development of specific interventions for young children have contributed to the emergence of similar, empirically supported, autism interventions that represent the merging of applied behavioral and developmental sciences. "Naturalistic Developmental Behavioral Interventions…
Descriptors: Autism, Pervasive Developmental Disorders, Early Intervention, Disability Identification
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Bone, Daniel; Goodwin, Matthew S.; Black, Matthew P.; Lee, Chi-Chun; Audhkhasi, Kartik; Narayanan, Shrikanth – Journal of Autism and Developmental Disorders, 2015
Machine learning has immense potential to enhance diagnostic and intervention research in the behavioral sciences, and may be especially useful in investigations involving the highly prevalent and heterogeneous syndrome of autism spectrum disorder. However, use of machine learning in the absence of clinical domain expertise can be tenuous and lead…
Descriptors: Clinical Diagnosis, Autism, Pervasive Developmental Disorders, Artificial Intelligence
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