Chapter 5 Synthesizing Single-Case Research to Identify Evidence-Based Treatments

This chapter covers the conceptual framework and presents practical guidelines for using single-case research (SCR) methods to determine evidence-based treatments. We posit that SCR designs contribute compelling evidence to the knowledge base that is distinct from group design research. When effect sizes are calculated SCR can serve as a reliable indicator of how much behavior change occurs with an intervention in applied settings. Strong SCR design can determine functional relationships and effect sizes with confidence intervals can represent the size and the certainty of the results in a standardized manner. Thus, SCR is unique in retaining data about the individual and individual effects, while also providing data that can be aggregated to identify evidence-based treatments and examine moderator variables.