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Accuracy of the Screening Tool for Autism in Toddlers and Young Children in the Primary Care Setting
Rebecca McNally Keehn; Noha F. Minshawi; Qing Tang; Brett Enneking; Tybytha Ryan; Ann Marie Martin; Angela Paxton; Patrick O. Monahan; Mary Ciccarelli; Brandon Keehn – Autism: The International Journal of Research and Practice, 2025
Feasible and accurate assessment tools developed for non-specialists are needed to scale community-based models of autism evaluation. The purpose of this study was to evaluate use of the Screening Tool for Autism in Toddlers and Young Children (STAT) when used by primary care practitioners (n = 10) across a statewide system of early diagnosis set…
Descriptors: Screening Tests, Accuracy, Autism Spectrum Disorders, Toddlers
Medda, Juliane E.; Cholemkery, Hannah; Freitag, Christine M. – Journal of Autism and Developmental Disorders, 2019
The aim of the present study was to establish diagnostic validity of the new algorithm of the Autism Diagnostic Observation Scale, the ADOS-2, to differentiate between ASD and other clinically relevant psychiatric and developmental disorders in a large German sample. Validity of ADOS and ADOS-2 diagnostic algorithms was established in 826…
Descriptors: Autism, Diagnostic Tests, Observation, Pervasive Developmental Disorders
Dai, Yael; Tagavi, Daina M.; Carter, Alice S. – ZERO TO THREE, 2021
Early diagnosis of autism spectrum disorder (ASD) facilitates access to interventions that improve outcomes for children and families. Understanding developmental and behavioral manifestations of symptoms and competencies improves early diagnosis. The authors illustrate the benefits of using the ZERO TO THREE "DC:0-5™: Diagnostic…
Descriptors: Clinical Diagnosis, Disability Identification, Autism Spectrum Disorders, Preschool Children
Cohen, Ira L.; Liu, Xudong; Hudson, Melissa; Gillis, Jennifer; Cavalari, Rachel N. S.; Romanczyk, Raymond G.; Karmel, Bernard Z.; Gardner, Judith M. – Canadian Journal of School Psychology, 2017
The PDD Behavior Inventory (PDDBI) has recently been shown, in a large multisite study, to discriminate well between autism spectrum disorder (ASD) and other groups when its scores were examined using a machine learning tool, Classification and Regression Trees (CART). Discrimination was good for toddlers, preschoolers, and school-age children;…
Descriptors: Autism, Pervasive Developmental Disorders, Disability Identification, Diagnostic Tests
Turner-Brown, Lauren M.; Baranek, Grace T.; Reznick, J Steven; Watson, Linda R.; Crais, Elizabeth R. – Autism: The International Journal of Research and Practice, 2013
The First Year Inventory is a parent-report measure designed to identify 12-month-old infants at risk for autism spectrum disorder. First Year Inventory taps behaviors that indicate risk in the developmental domains of sensory--regulatory and social--communication functioning. This longitudinal study is a follow-up of 699 children at 3 years of…
Descriptors: Autism, Pervasive Developmental Disorders, Risk, Disability Identification
Georgiades, Stelios; Szatmari, Peter; Boyle, Michael; Hanna, Steven; Duku, Eric; Zwaigenbaum, Lonnie; Bryson, Susan; Fombonne, Eric; Volden, Joanne; Mirenda, Pat; Smith, Isabel; Roberts, Wendy; Vaillancourt, Tracy; Waddell, Charlotte; Bennett, Teresa; Thompson, Ann – Journal of Child Psychology and Psychiatry, 2013
Background: Autism spectrum disorder (ASD) is characterized by notable phenotypic heterogeneity, which is often viewed as an obstacle to the study of its etiology, diagnosis, treatment, and prognosis. On the basis of empirical evidence, instead of three binary categories, the upcoming edition of the DSM 5 will use two dimensions--social…
Descriptors: Pervasive Developmental Disorders, Autism, Student Characteristics, Social Development