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The percentage of non-overlapping data (PND; Scruggs, Mastropieri, & Casto, 1987) is one of several outcome metrics for aggregating data across studies using single-subject experimental designs. The application of PND requires the systematic reviewer to make various decisions related to the...
Several metrics have been suggested for summarizing results from single-subject experimental designs. This study briefly reviews the most commonly used metrics, noting their methodological limitations. This study also includes a synthesis of recent meta-analyses, describing which metrics were...
The articles in the previous, special issue of Evidence-Based Communication Assessment and Intervention provided an excellent review of the meta-analysis of single-case designs. This article weaves commentary about those articles into a larger narrative about two major lines of attack on this...
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...
The current study describes modification of change in R 2 (Δ R 2 ) indices used to describe a treatment's effect on the level and linear growth in outcome measures in single-subject experimental designs. A description of how to calculate each index, its standard error and associated test...
A multilevel approach is proposed to synthesize the results of single-subject experimental research by combining either raw data or effect-size measures. A multilevel meta-analysis of single-subject data allows us to make inferences not only about the effects for the participants that are...
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