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Direct linkOscar W. H. Wong; Sandra S. M. Chan; Steven W. H. Chau; Winnie C. W. Chu; Carol S. W. Ho; Stephy W. S. Ho; Se Fong Hung; Samara Hussain; Kelly Y. C. Lai; Angela M. W. Lam; Holly H. L. Lo; Karen K. Y. Ma; Suk Ling Ma; Flora Y. M. Mo; Pak Chung Sham; Caroline K. S. Shea; Suzanne H. W. So; Kelvin K. F. Tsoi; Patrick W. L. Leung – Autism: The International Journal of Research and Practice, 2025
Epidemiological studies on autism lack representation from Asia. We estimated the prevalence of autism among children and youths in Hong Kong using a two-stage approach. In addition, we evaluated the psychometric properties of the screening instrument and explored sex differences within an epidemiological context. A random school-based sample of…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Epidemiology, Children
Download full textInteragency Autism Coordinating Committee, 2018
Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field. The "2017 Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by the members.…
Descriptors: Pervasive Developmental Disorders, Autism, Journal Articles, Research
Wiley, Andrew L.; Kauffman, James M.; Plageman, Kristen – Exceptionality, 2014
Underidentification of students with emotional and behavioral disorders (EBD; emotional disturbance or ED in federal language) is a critical issue, perhaps explainable in part by causal attributions of problem behavior associated with conservatism. Conservatism in 58 counties in the state of California was measured by finding the percentage of…
Descriptors: Disability Identification, Behavior Disorders, Emotional Disturbances, Special Education
Villarreal, Victor – Exceptionality, 2015
This study examined the educational environment placement and educational outcomes of students identified as having an emotional disturbance (ED). The sample was drawn from special education enrollment data for students aged 6-21 years in the 50 states and Washington, DC in 2010. Additional economic and demographic state-level variables were…
Descriptors: Emotional Disturbances, Outcomes of Education, Special Needs Students, State Surveys
Pettygrove, Sydney; Pinborough-Zimmerman, Judith; Meaney, F. John; Van Naarden Braun, Kim; Nicholas, Joyce; Miller, Lisa; Miller, Judith; Rice, Catherine – Journal of Autism and Developmental Disorders, 2013
Autism spectrum disorders (ASD) prevalence estimates derived from a single data source under-identify children and provide a biased profile of case characteristics. We analyzed characteristics of 1,919 children with ASD identified by the Autism and Developmental Disabilities Monitoring Network. Cases ascertained only at education sources were…
Descriptors: Pervasive Developmental Disorders, Autism, Predictor Variables, Educational Diagnosis
Sullivan, Amanda L. – School Psychology Review, 2013
This study examined prevalence and relative risk of school-based autism identification by race, and the relations of each to state characteristics. The sample was drawn from general and special education enrollment data for students ages--21 in 46 states during the 2008-2009 academic year. The results show that 1 in 228 students nationwide was…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Incidence
Vesely, Randall S. – Educational Considerations, 2010
Elementary and secondary students can be impacted by a number of risk factors, all of which can have a negative influence on their academic success. To that end, the identification of risk factors is an important first step in closing achievement gaps. For example, clear evidence of an achievement gap can be found in Indiana's high school…
Descriptors: Evidence, Achievement Gap, Graduation Rate, Academic Achievement
Peer reviewedLupart, Judy L.; Timmons, Vianne; Odishaw, Janine – Exceptionality Education Canada, 2003
This introductory article discusses a study that investigated how at-risk students are defined in each of the Canadian provinces and Northern Territories and similarities in the definitions in the policy-making and policy implementation arenas. Different types of students that may be at-risk are described. (Contains references.) (CR)
Descriptors: Classification, Cultural Differences, Disabilities, Disability Identification
