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Pustejovsky, James E. – Grantee Submission, 2018
A wide variety of effect size indices have been proposed for quantifying the magnitude of treatment effects in single-case designs. Commonly used measures include parametric indices such as the standardized mean difference, as well as non-overlap measures such as the percentage of non-overlapping data, improvement rate difference, and non-overlap…
Descriptors: Effect Size, Measurement Techniques, Monte Carlo Methods, Observation
Zimmerman, Kathleen N.; Pustejovsky, James E.; Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Lloyd, Blair P. – Grantee Submission, 2018
Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…
Descriptors: Research Design, Evaluation Methods, Synthesis, Intervention
Pustejovsky, James E. – Grantee Submission, 2018
Methods for meta-analyzing single-case designs (SCDs) are needed to inform evidence-based practice in clinical and school settings and to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomes in single-case research are measures of behavior collected using…
Descriptors: Meta Analysis, Case Studies, Evidence Based Practice, Behavioral Science Research