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Kathryn A. McNaughton; Alexandra Moss; Heather A. Yarger; Elizabeth Redcay – Autism: The International Journal of Research and Practice, 2024
Autistic youth often experience challenges in interactions with neurotypical peers. One factor that may influence successful interactions with peers is interpersonal synchrony, or the degree to which interacting individuals align their behaviors (e.g. facial expressions) over time. Autistic and neurotypical youth were paired together into three…
Descriptors: Autism Spectrum Disorders, Peer Relationship, Nonverbal Communication, Social Behavior
Jennifer C. Bullen; Sandy L. Birkeneder; Matthew C. Zajic; Lindsay Swain Lerro; Nancy McIntyre; Nicole Sparapani; Peter Mundy – Autism: The International Journal of Research and Practice, 2025
A recent study suggests that parent report on the Social Symptom and Prosocial scales of the Childhood Joint Attention Rating Scale provides useful information about differences in the social development of school-aged autistic children. The current study provides additional psychometric data on the Childhood Joint Attention Rating Scale regarding…
Descriptors: Autism Spectrum Disorders, Social Development, Child Development, Children
Keifer, Cara M.; Mikami, Amori Yee; Morris, James P.; Libsack, Erin J.; Lerner, Matthew D. – Autism: The International Journal of Research and Practice, 2020
Deficient social communication and interaction behaviors are a hallmark feature of individuals with autism spectrum disorder. These social communication and interaction deficits potentially stem from problems with explicit social cognition (i.e. processes that are controlled and largely conscious) as well as with implicit social cognition (i.e.…
Descriptors: Autism, Pervasive Developmental Disorders, Social Behavior, Social Cognition
D. S. Messinger; L. K. Perry; S. G. Mitsven; Y. Tao; J. Moffitt; R. M. Fasano; S. A. Custode; C. M. Jerry – Grantee Submission, 2022
Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…
Descriptors: Artificial Intelligence, Computation, Measurement Techniques, Automation
Tomaszewski, Brianne; Hepburn, Susan; Blakeley-Smith, Audrey; Rogers, Sally J. – American Journal on Intellectual and Developmental Disabilities, 2020
Longitudinal growth modeling was utilized to examine adaptive behavior over eight years across the three time points (i.e., ages 2-10). Seventy-six parents completed the Vineland Adaptive Behavior Scales interviews of adaptive behavior. Child participants completed standardized developmental testing and an executive function task in toddlerhood…
Descriptors: Adjustment (to Environment), Autism, Pervasive Developmental Disorders, Behavior Problems
Patterson, Stephanie Y.; Elder, Lauren; Gulsrud, Amanda; Kasari, Connie – Autism: The International Journal of Research and Practice, 2014
Purpose: This study examines the relationship between parental interaction style (responsive vs directive) and child-initiated joint engagement within caregiver-child interactions with toddlers diagnosed with autism spectrum disorders. Method: Videotaped interactions of 85 toddler-caregiver dyads were coded for child engagement and both parental…
Descriptors: Interaction, Parent Child Relationship, Toddlers, Pervasive Developmental Disorders