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Angela Chamberlain; Emily D'Arcy; Andrew J. O. Whitehouse; Kerry Wallace; Maya Hayden-Evans; Sonya Girdler; Benjamin Milbourn; Sven Bölte; Kiah Evans – Journal of Autism and Developmental Disorders, 2025
Purpose: The PEDI-CAT (ASD) is used to assess functioning of children and youth on the autism spectrum; however, current psychometric evidence is limited. This study aimed to explore the reliability, validity and acceptability of the PEDI-CAT (ASD) using a large Australian sample. Methods: Caregivers of 134 children and youth on the spectrum…
Descriptors: Autism Spectrum Disorders, Children, Youth, Test Reliability
Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
Berger, Natalie I.; Wainer, Allison L.; Kuhn, Jocelyn; Bearss, Karen; Attar, Shana; Carter, Alice S.; Ibanez, Lisa V.; Ingersoll, Brooke R.; Neiderman, Hannah; Scott, Sabine; Stone, Wendy L. – Journal of Autism and Developmental Disorders, 2022
The COVID-19 pandemic, and associated social distancing mandates, has placed significant limitations on in-person health services, requiring creative solutions for supporting clinicians engaged in the diagnosis of autism spectrum disorder (ASD). This report describes the five virtual instruments available at the time of manuscript development for…
Descriptors: Toddlers, Autism, Pervasive Developmental Disorders, Diagnostic Tests
Emily Fourie; Szu-Ching Lu; Jonathan Delafield-Butt; Susan M. Rivera – Journal of Autism and Developmental Disorders, 2025
Autistic individuals often exhibit motor atypicalities, which may relate to difficulties in social communication. This study utilized a smart tablet activity to computationally characterize motor control by testing adherence to the two-thirds power law (2/3 PL), which captures a systematic covariation between velocity and curvature in motor…
Descriptors: Preschool Children, Elementary School Students, Autism Spectrum Disorders, Psychomotor Skills
Matt I. Brown; Patrick R. Heck; Christopher F. Chabris – Journal of Autism and Developmental Disorders, 2024
The Social Shapes Test (SST) is a measure of social intelligence which does not use human faces or rely on extensive verbal ability. The SST has shown promising validity among adults without autism spectrum disorder (ASD), but it is uncertain whether it is suitable for adults with ASD. We find measurement invariance between adults with (n = 229)…
Descriptors: Interpersonal Competence, Autism Spectrum Disorders, Emotional Intelligence, Verbal Ability
Hoover, Daniel W.; Romero, Elizabeth M. G. – Journal of Autism and Developmental Disorders, 2019
This study examined the feasibility, acceptability, and psychometric characteristics of a web-based touchscreen app prototype designed to assess self-reported trauma exposure and symptoms in children with autism spectrum disorder (ASD). The prototype was piloted with 20 clinically referred children previously diagnosed with ASD and having various…
Descriptors: Autism, Psychometrics, Trauma, Symptoms (Individual Disorders)
Duda, Marlena; Daniels, Jena; Wall, Dennis P. – Journal of Autism and Developmental Disorders, 2016
The Mobile Autism Risk Assessment (MARA) is a new, electronically administered, 7-question autism spectrum disorder (ASD) screen to triage those at highest risk for ASD. Children 16 months-17 years (N = 222) were screened during their first visit in a developmental-behavioral pediatric clinic. MARA scores were compared to diagnosis from the…
Descriptors: Autism, Pervasive Developmental Disorders, Risk Assessment, Children
Landry, Oriane; Al-Taie, Shems – Journal of Autism and Developmental Disorders, 2016
We conducted a meta-analysis of 31 studies, spanning 30 years, utilizing the WCST in participants with autism. We calculated Cohen's d effect sizes for four measures of performance: sets completed, perseveration, failure-to-maintain-set, and non-perseverative errors. The average weighted effect size ranged from 0.30 to 0.74 for each measure, all…
Descriptors: Executive Function, Cognitive Tests, Cognitive Ability, Abstract Reasoning