Abstract
This paper is an early attempt to apply a meta-analytic technique to a body of single-subject experimental design (SSED) research. The percentage of all non-overlapping data points (PAND) technique, a new approach to calculating effect sizes in SSEDs, was applied to 19 studies evaluating peer-mediated social-skills treatments for children with autism. On the basis of PAND analysis, more common measures of effect size were derived (Phi, Phi 2, and d) and summaries were presented for individual studies. Forest plots, often used in meta-analyses, were presented to illustrate comparisons of effects as a function of outcome measures and treatment types. On the basis of PAND analyses of the literature on peer-mediated interventions to improve the social skills of children with autism, effect sizes for this body of literature would be considered large. Although the comparability of effect-size estimates to those of group-design experiments remains in question, PAND analysis of SSEDs seems to hold promise as we add to the strategies for identifying empirically supported treatments.
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