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Paul Embleton – ProQuest LLC, 2021
The processes used in identifying/diagnosing specific learning disabilities (SLDs) vary across settings and classification systems. Moreover, the theoretically and mathematically derived identification models (i.e., discrepancy model) have thus far not demonstrated adequate reliability and validity. The present study explores the utility of…
Descriptors: Artificial Intelligence, Disability Identification, Clinical Diagnosis, Learning Disabilities
Zachary A. Bella – ProQuest LLC, 2023
The identification of autism spectrum disorders (ASD) occurs in educational and health settings. Many children with autism will only receive a classification of autism in the educational setting (Esler et al., 2022, Pettygrove et al., 2013, Wiggins et al., 2020). There is significant overlap between the early intervention offered to children with…
Descriptors: Autism Spectrum Disorders, Disability Identification, Developmental Delays, Clinical Diagnosis
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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
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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
Justice, Laura M.; Ahn, Woo-Young; Logan, Jessica A. R. – Journal of Learning Disabilities, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children receiving therapy for language disorder among a sample of 483 3- to 5-year-old children (54%…
Descriptors: Language Impairments, Disability Identification, Clinical Diagnosis, Preschool Children
Zeanah, Charles H., Jr.; Carter, Alice; Cohen, Julie; Egger, Helen; Keren, Miri; Gleason, Mary Margaret; Lieberman, Alicia F.; Mulrooney, Kathleen; Oser, Cindy – ZERO TO THREE, 2015
Originally published in 1994 by ZERO TO THREE as the "Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood" ("DC:0-3") and revised in 2005 by ZERO TO THREE as the "Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood, Revised…
Descriptors: Clinical Diagnosis, Classification, Mental Health, Developmental Delays
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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
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Bakian, Amanda V.; Bilder, Deborah A.; Carbone, Paul S.; Hunt, Tyler D.; Petersen, Brent; Rice, Catherine E. – Journal of Autism and Developmental Disorders, 2015
An independent validation was conducted of the Utah Autism and Developmental Disabilities Monitoring Network's (UT-ADDM) classification of children with autism spectrum disorder (ASD). UT-ADDM final case status (n = 90) was compared with final case status as determined by independent external expert reviewers (EERs). Inter-rater reliability…
Descriptors: Autism, Developmental Disabilities, Pervasive Developmental Disorders, Children
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Yoshii, Ryo – International Journal of Inclusive Education, 2016
In the late nineteenth and early twentieth centuries, American psychologists began addressing problems related to the intellectual capacity of students enrolled in public schools. This paper focuses on the role and influence of psychologists in addressing these problems, specifically the difficulty of classifying students deemed feeble-minded and…
Descriptors: United States History, Public Schools, Intelligence, Intelligence Tests
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Koidou, Irene; Kollias, Nikolaos; Sdravou, Katerina; Grouios, George – Educational Gerontology, 2013
Dysphagia is the clinical expression of disruption of the synchronized activity surrounding the normal swallowing mechanism. It results from a large number of causes including neurologic, myopathic, metabolic, inflammatory/autoimmune, infectious, structural, iatrogenic, and psychiatric diseases. It can have a significant impact on social and…
Descriptors: Aphasia, Literature Reviews, Incidence, Classification
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Arnold, Samuel R. C.; Riches, Vivienne C.; Stancliffe, Roger J. – Journal of Applied Research in Intellectual Disabilities, 2014
Background: Since 1992, the diagnosis and classification of intellectual disability has been dependent upon three constructs: intelligence, adaptive behaviour and support needs (Luckasson "et al." 1992. Mental Retardation: Definition, Classification and Systems of Support. American Association on Intellectual and Developmental…
Descriptors: Classification, Prediction, Mental Retardation, Special Needs Students
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Hanson, Ellen; Cerban, Bettina M.; Slater, Chelsea M.; Caccamo, Laura M.; Bacic, Janine; Chan, Eugenia – Journal of Autism and Developmental Disorders, 2013
Currently, both the DSM-IV-TR and ICD-10 preclude the diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) in cases that present with an Autism Spectrum Disorder (ASD). This criterion will be removed in the upcoming DSM-V, but the relationship between ASD and ADHD, and in particular the prevalence of ADHD among the ASD population, remains…
Descriptors: Attention Deficit Hyperactivity Disorder, Autism, Incidence, Comorbidity
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Gibbs, Vicki; Aldridge, Fiona; Chandler, Felicity; Witzlsperger, Ellen; Smith, Karen – Journal of Autism and Developmental Disorders, 2012
The proposed revision for Autism spectrum disorders (ASDs) in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) represents a shift from the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition, Text Revision (DSM-IV-TR). As the proposed DSM-5 criteria require a higher minimum number of symptoms to be…
Descriptors: Autism, Mental Disorders, Criteria, Disability Identification
Alkherainej, Khaled – ProQuest LLC, 2012
The factor structure and agreement among commonly used questionnaires for identifying children at risk for developmental disability and autism spectrum disorders between the ages of 36 and 66 months were studied. The Age and Stages Questionnaires (ASQ), the Ages and Stages Questionnaire: Social Emotional (ASQ: SE), and the Social Communication…
Descriptors: Factor Structure, Questionnaires, Disability Identification, At Risk Persons
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