Single case experimental design (SCED) is an indispensable methodology when evaluating intervention efficacy. Despite long-standing success with using visual analyses to evaluate SCED data, this method has limited utility for conducting meta-analyses. This is critical because meta-analyses should drive practice and policy in behavioral disorders…

Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…

Students with emotional and behavioral disorders (EBD) exhibit problem behaviors that potentially result in lower performance in reading and related content areas. Researchers and policy makers have increasingly emphasized the need for evidence-based practices (EBPs) in reading. However, conclusions made regarding the effectiveness of the…

Discusses logic and interpretation problems inherent in doing quantitative syntheses of single-case research. Addresses the meta-analytic method of using percentage of nonoverlapping data, highlighting special concerns related to withdrawal designs, sensitivity to variability in behavior, social significance of behavior change, and variables that…

In this discussion of quantitative research synthesis, past criticisms of meta-analysis are reviewed along with the ways they have been addressed. Objections to single-subject synthesis methods are discussed, along with the advantages of using the percentage-of- nonoverlapping-data metric. The article concludes by questioning the veracity of…