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Autor/inn/enChen, Mo; Hyppa-Martin, Jolene K.; Reichle, Joe E.; Symons, Frank J.
TitelComparing Single Case Design Overlap-Based Effect Size Metrics from Studies Examining Speech Generating Device Interventions
QuelleIn: American Journal on Intellectual and Developmental Disabilities, 121 (2016) 3, S.169-193 (25 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1944-7515
DOI10.1352/1944-7558-121.3.169
SchlagwörterAssistive Technology; Augmentative and Alternative Communication; Speech Impairments; Intellectual Disability; Developmental Disabilities; Intervention; Case Studies; Research Design; Effect Size; Evidence Based Practice
AbstractMeaningfully synthesizing single case experimental data from intervention studies comprised of individuals with low incidence conditions and generating effect size estimates remains challenging. Seven effect size metrics were compared for single case design (SCD) data focused on teaching speech generating device use to individuals with intellectual and developmental disabilities (IDD) with moderate to profound levels of impairment. The effect size metrics included percent of data points exceeding the median (PEM), percent of nonoverlapping data (PND), improvement rate difference (IRD), percent of all nonoverlapping data (PAND), Phi, nonoverlap of all pairs (NAP), and Tau[subscript novlap]. Results showed that among the seven effect size metrics, PAND, Phi, IRD, and PND were more effective in quantifying intervention effects for the data sample (N = 285 phase or condition contrasts). Results are discussed with respect to issues concerning extracting and calculating effect sizes, visual analysis, and SCD intervention research in IDD. (As Provided).
AnmerkungenAmerican Association on Intellectual and Developmental Disabilities. P.O. Box 1897, Lawrence, KS 66044-1897. Tel: 785-843-1235; Fax: 785-843-1274; e-mail: AJMR@allenpress.com; Web site: http://www.aaiddjournals.org/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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