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Franzetta, Krisa – ProQuest LLC, 2022
This study examines the disproportionality in special education, regarding African American students being overrepresented, specifically under the disability category of Emotional Disturbance (ED) within the state of Pennsylvania. Demographic information was collected with the use of secondary data provided by the Pennsylvania Department of…
Descriptors: Emotional Disturbances, Special Education, Disproportionate Representation, African American Students
Sunghee Choi – ProQuest LLC, 2022
Traditionally, most autism assessment instruments are based on medical models and designed to identify social communication deficits and behavioral abnormality in an individual. However, as more autistic narratives reveal the insider views of autists, some scholars and autistic activists support the neurodiversity model and assert the acceptance…
Descriptors: Test Validity, Autism Spectrum Disorders, Disability Identification, Adults
Jordan Shurr; Alexandra Minuk; Saad Chahine – Journal of Research in Special Educational Needs, 2025
While there has been movement from disability, or special education needs (SEN), eligibility identification as a prerequisite for special education services, formal school-based identification remains critical in understanding the educational experience of students with disabilities. This study examined data from Ontario, Canada between 2006 and…
Descriptors: Students with Disabilities, Special Education, Eligibility, Disability Identification
Johny Daniel; Lauryn Clucas; Hsuan-Hui Wang – Annals of Dyslexia, 2025
Early identification plays a crucial role in providing timely support to students with learning disabilities, such as dyslexia, in order to overcome their reading difficulties. However, there is significant variability in the methods used for identifying dyslexia. This study aimed to explore and understand the practices of dyslexia identification…
Descriptors: Dyslexia, Disability Identification, Professional Personnel, Misconceptions
Raven Bureau; Céline Clément – Autism: The International Journal of Research and Practice, 2024
Research on how adults react to receiving an autism diagnosis is focused on the United States or the United Kingdom context even though cultural differences might have an impact on these experiences. Few interventions for autistic adults exist, and when they do, they are often described as inappropriate. Our study aimed to explore the experiences…
Descriptors: Foreign Countries, Adults, Autism Spectrum Disorders, Clinical Diagnosis
Paulina Buffle; Cristina Armijos; Alfredo Naranjo; Edouard Gentaz – Autism: The International Journal of Research and Practice, 2024
Identification procedures for autism spectrum disorders in paediatric settings include screening and routine clinical surveillance. Screening tools are perceived as challenging, and a preference for direct observation has been reported in Ecuadorian paediatric settings. Augmentative observational procedures could prompt the application of…
Descriptors: Foreign Countries, Disability Identification, Autism Spectrum Disorders, Pediatrics
Ben Ph?m; Sharynne McLeod – International Journal of Language & Communication Disorders, 2024
Background: The dialect spoken by children influences diagnostic decision-making regarding the identification and severity of speech sound disorder (SSD). Aims: The primary objective was to review papers that examined the influence of dialect on the identification of SSD in Vietnamese-speaking children. Methods & Procedures: Five studies of…
Descriptors: Dialects, Disability Identification, Speech Impairments, Foreign Countries
Camodeca, Amy – Journal of Autism and Developmental Disorders, 2023
There is limited research regarding the Gilliam Autism Rating Scales-3rd Edition (GARS-3) despite its extensive use. A comprehensive diagnostic evaluation, including the Autism Diagnostic Observation Schedule--2nd Edition (ADOS-2) was provided to 186 clinically referred children suspected of autism ([x-bar] age = 8.98; Autism [AUT] n = 87; Not…
Descriptors: Autism Spectrum Disorders, Rating Scales, Children, Diagnostic Tests
Oredipe, Tomisin; Kofner, Bella; Riccio, Ariana; Cage, Eilidh; Vincent, Jonathan; Kapp, Steven K.; Dwyer, Patrick; Gillespie-Lynch, Kristen – Autism: The International Journal of Research and Practice, 2023
Many autistic people do not learn they are autistic until adulthood. Parents may wait to tell a child they are autistic until they feel the child is "ready." In this study, a participatory team of autistic and non-autistic researchers examined whether learning one is autistic at a younger age is associated with heightened well-being and…
Descriptors: Autism Spectrum Disorders, College Students, Correlation, Disability Identification
Offermans, Julia E.; de Bruin, Esther I.; Lange, Aurelie M. C.; Middeldorp, Christel M.; Wesseldijk, Laura W.; Boomsma, Dorret I.; Dieleman, Gwen C.; Bögels, Susan M.; van Steensel, Francisca J. A. – Journal of Autism and Developmental Disorders, 2023
The first aim of this study was to construct/validate a subscale--with cut-offs considering gender/age differences--for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL…
Descriptors: Check Lists, Child Behavior, Autism Spectrum Disorders, Screening Tests
Christiansen, Audrey; Minich, Nori M.; Clark, Marie – Journal of Autism and Developmental Disorders, 2023
This piliot study assessed the experiences of police officers related to persons with Autism Spectrum Disorder (ASD) via a survey assessing prior experience, comfort, knowledge, and ability to identify autistic persons. Fifty-one officers completed the survey: 52.9% reported previous ASD training, 34.8% reported personal experience with ASD, and…
Descriptors: Police, Attitudes toward Disabilities, Autism Spectrum Disorders, Prior Learning
Zhao, Zhong; Wei, Jiwei; Xing, Jiayi; Zhang, Xiaobin; Qu, Xingda; Hu, Xinyao; Lu, Jianping – Journal of Autism and Developmental Disorders, 2023
This study segmented the time series of gaze behavior from nineteen children with autism spectrum disorder (ASD) and 20 children with typical development in a face-to-face conversation. A machine learning approach showed that behavior segments produced by these two groups of participants could be classified with the highest accuracy of 74.15%.…
Descriptors: Children, Autism Spectrum Disorders, Symptoms (Individual Disorders), Eye Movements
Cheek, Connor L.; Garcia, Jessica L.; Mehta, Paras D.; Francis, David J.; Grigorenko, Elena L. – Exceptional Children, 2023
Twice-exceptionality (2e), broadly defined as the co-occurrence of a gift or talent and a disability, has been a part of the educational lexicon since the 1990s, although its empirical backing is limited. We conducted a comprehensive review of the empirical literature on 2e and created a simulation study of 2e. For the latter, we constructed…
Descriptors: Gifted Disabled, Incidence, Students with Disabilities, Academically Gifted
Renee Bergeron; Randy G. Floyd; Patrick J. McNicholas; Ryan L. Farmer – School Psychology Review, 2023
This study examined the group and individual part score profiles of individuals with mild intellectual disability (ID) who participated in a clinical validity study supporting the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) and a comparison group without ID derived from the WISC-V norming sample. Descriptive analyses revealed…
Descriptors: Intelligence Tests, Children, Mild Intellectual Disability, Scores
Bugden, S.; Peters, L.; Nosworthy, N.; Archibald, L.; Ansari, D. – Mind, Brain, and Education, 2021
Developmental dyscalculia (DD) is a mathematical learning disability that occurs in around 5%-7% of the population. At present, there are only a handful of screening tools to identify children that might be at risk of developing DD. The present study evaluated the classification accuracy of one such tool: The Numeracy Screener, a 2-min test of…
Descriptors: Learning Disabilities, Disability Identification, Classification, Accuracy