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Effects on the Use of Technology-Based Self-Monitoring for Students with Autism Spectrum Disorder: A Meta-Analysis

Self-monitoring involves teaching students to be aware of their own behavior, and be able to record whether the behavior happened or not. The present study uses meta-analysis of single case design (SCD) studies to evaluate the effectiveness of self-monitoring interventions that use electronic devices during implementation for individuals with autism spectrum disorder (ASD). Eligible studies were accessed to determine design quality, and examine the use of self-monitoring for individuals diagnosed with ASD. Studies were evaluated against inclusion-exclusion criteria. The studies that met inclusion criteria (n = 15) were assessed with the What Works Clearinghouse (WWC) standards for methodological rigor. The WWC standards were applied to baseline and intervention phases. There were a total of 12 studies with 32 students diagnosed with ASD that met SCD standards without, and with reservations. The 12 studies were evaluated using the Tau-U effect size metric to quantify the percentage of change that was attributed to the self-monitoring intervention. Overall, omnibus Tau-U was 0.96 (95% confidence interval [CI] = [0.89, 1.0]). Limitations and directions for future research are discussed.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1505170
Date05 1900
CreatorsRobertson, Ryan S
ContributorsBoesch, Miriam, Savage, Melissa, Chang, Mei, Hull, Darrell
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatv, 66 pages, Text
RightsPublic, Robertson, Ryan S, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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