Michelle Dawson posts

Post published on Bluesky on 2 Dec 2025 13:00

Bluesky DOI work crossref Extract quoted in the post Question asked by Dawson in the post External link integrated into the post Autism terms

To study data collection, behavior analysts conduct unethical functional analyses that cause autistics to repeatedly hit themselves--e.g., one autistic hit his head >2000 times? (see Fig 3, self-hitting was blocked only "when it exceeded 10s") journals.sagepub.com/doi/10.1177/... this is ABA in 2025

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DOI work Fetched Post crossref

Leslie Neely, Katherine Holloway, Samantha Miller, Karen Cantero, Adel Alaeddini, Sakiko Oyama (2026). Wearable Technology to Measure the Occurrence of Self-Injury During a Functional Analysis. Behavior Modification, 50(3), 163-191. SAGE Publications.

Publication date
1 Dec 2025
Identifier
10.1177/01454455251397910
Authors
Leslie Neely, Katherine Holloway, Samantha Miller, Karen Cantero, Adel Alaeddini, Sakiko Oyama
Source
Behavior Modification
Details
50(3), 163-191
Reference type
article
Publisher
SAGE Publications
Metadata source
crossref

Abstract

Conducting a functional analysis (FA) is considered the gold standard for assessing the function of disruptive behavior and informing function-based treatment plans for individuals with autism and developmental disabilities. However, data collected during FAs are subject to human error. Accelerometers are wearable sensors that capture an individual’s movement and can be used to identify behavioral events. The purpose of this study was to pilot the use of accelerometers to identify the occurrence of self-injurious behavior events during a FA. Three participants with autism, who engaged in self-hitting behaviors, participated in this study. Researchers conducted a FA with the participants while they wore small accelerometer devices. Observational data were collected using (1) live observation (“clinical-grade”), (2) from frame-by-frame video analysis (“research-grade”), and (3) via accelerometers. Researchers calculated interobserver agreement across data sets. Discussion of results and recommendations for practice and future research are included.

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