ERIC Number: EJ1474041
Record Type: Journal
Publication Date: 2025-Jul
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0162-3257
EISSN: EISSN-1573-3432
Available Date: 2024-05-07
Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire
Amanda M. O'Brien1,2,3; Toni A. May4; Kristin L. K. Koskey4; Lindsay Bungert2,5,7; Annie Cardinaux2,5; Jonathan Cannon5,8; Isaac N. Treves2,5; Anila M. D'Mello2,5,9; Robert M. Joseph6; Cindy Li2,3; Sidney Diamond5; John D. E. Gabrieli2,3,5; Pawan Sinha5
Journal of Autism and Developmental Disorders, v55 n7 p2550-2565 2025
Purpose: Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction. Methods: An interdisciplinary mixed-methods approach was utilized to develop and validate a self-report questionnaire of prediction skills for adults, the "Prediction-Related Experiences Questionnaire (PRE-Q)." Two rounds of online field testing were completed in samples of autistic and neurotypical (NT) adults. Qualitative feedback from a subset of these participants regarding question content and quality was integrated and Rasch modeling of the item responses was applied. Results: The final "PRE-Q" includes 19 items across 3 domains (Sensory, Motor, Social), with evidence supporting the validity of the measure's 4-point response categories, internal structure, and relationship to other outcome measures associated with prediction. Consistent with models of prediction challenges in autism, autistic participants indicated more prediction-related difficulties than the NT group. Conclusions: This study provides evidence for the validity of a novel self-report questionnaire designed to measure the day-to-day prediction skills of autistic and non-autistic adults. Future research should focus on characterizing the relationship between the "PRE-Q" and lab-based measures of prediction, and understanding how the "PRE-Q" may be used to identify potential areas for clinical supports for individuals with prediction-related challenges.
Descriptors: Questionnaires, Measurement Techniques, Prediction, Autism Spectrum Disorders, Adults, Test Validity
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Authoring Institution: N/A
Grant or Contract Numbers: T32DC000038; F31DC020864
Author Affiliations: 1Harvard University, Program in Speech and Hearing Bioscience and Technology, Cambridge, USA; 2Massachusetts Institute of Technology, McGovern Institute for Brain Research, Cambridge, USA; 3Massachusetts Institute of Technology, Hock E. Tan and K. Lisa Yang Center for Autism Research, Cambridge, USA; 4Drexel University, School of Education, Philadelphia, USA; 5Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, Cambridge, USA; 6Boston University School of Medicine, Department of Anatomy and Neurobiology, Boston, USA; 7Hofstra University, The Donald and Barbara Zucker School of Medicine, Long Island, USA; 8McMaster University, Department of Psychology, Neuroscience, and Behaviour, Hamilton, Canada; 9UT Southwestern Medical Center, Department of Psychiatry and O’Donnell Brain Institute, Dallas, USA