Affiliation of Author, Researcher, or Creator
School of Communication
Department
Communication Sciences and Disorders
Author(s)
Rhiannon Luyster, Taylor Boyd, Amelia Steele, Thuy Buonocore, Catherine Sancimino, Sudha Arunachalam
Resource Type
Article
Publication, Publisher or Distributor
Language Development Research
Publication Date
2025
Brief Description
Many developmentalists have shifted to remote research. This project uses secondary data to evaluate the quality of eye-gaze data from 30 autistic children and a language-matched sample of 30 nonspectrum children (mean ages 48 and 27 months, respectively). All children completed an experimenter-moderated preferential looking paradigm via Zoom. Frequency of co-occurring child and household events, rates of missing data, and percent agreement between gaze coders were assessed. Results indicated that co-occurring events were minimal, with no diagnostic group differences. Missing data rates were low overall and were unrelated to diagnostic group, age, or language level of participants; however, higher rates of co-occurring child behaviors were associated with higher rates of missing data. Agreement between coders for eye gaze data was comparable to in-lab studies. Results affirm the usefulness of remote, experimenter-moderated gaze-based research with autistic and nonspectrum children.
Keywords
remote research, eye-gaze data, autistic children, nonspectrum children
Recommended Citation
Luyster, R., Boyd, T., Steele, A., Sancimino, C., Buonocore, T., & Arunachalam, S. (2025). Quality of remotely-collected gaze data in autistic and nonspectrum children. Language Development Research, 5(3), 131–154. https://doi.org/10.34842/ldr2025-633
Preferred Citation Style
APA
Peer Reviewed
1
License Agreement
1