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Comparing single case design overlap-based effect size metrics from studies examining speech generating device interventions
Mo Chen
,
Jolene K. Hyppa-Martin
, Joe E. Reichle
,
Frank J. Symons
Communication Sciences & Disorders
Speech-Language-Hearing Sciences
Administration (CEHD)
Research output
:
Contribution to journal
›
Article
›
peer-review
44
Scopus citations
Overview
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Dive into the research topics of 'Comparing single case design overlap-based effect size metrics from studies examining speech generating device interventions'. Together they form a unique fingerprint.
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Keyphrases
Single-case Design
100%
Size Metrics
100%
Non-overlapping Data
100%
Speech-generating Device
100%
Device Intervention
100%
Improvement Factor
50%
Intervention Studies
25%
People with Intellectual Disabilities
25%
Developmental Disabilities
25%
Individuals with Developmental Disabilities
25%
Intellectual Disability
25%
Intervention Effect
25%
Intervention Research
25%
Low Incidence
25%
Design Intervention
25%
Design Information
25%
Non-overlapping
25%
Device Use
25%
All-pairs
25%
Effect Size Estimation
25%
Data Improvement
25%
Engineering
Metrics
100%
Effect Size
100%
Data Point
16%
Design Data
16%
Data Sample
16%
Pharmacology, Toxicology and Pharmaceutical Science
Intellectual and Developmental Disabilities
100%
Intervention Study
50%
Psychology
Single-Case Designs
100%