I’m pleased to announce that my article “Using response ratios for meta-analyzing SCDs with behavioral outcomes” has been accepted at Journal of School Psychology. There’s a multitude of ways that you can access this work:
- For the next 6 weeks or so, the published version of the article will be available at the journal website.
- The pre-print will always remain available at PsyArXiv.
- Some supporting materials and replication code are available on the Open Science Framework.
Here’s the abstract of the paper:
Methods for meta-analyzing single-case designs (SCDs) are needed to inform evidence-based practice in clinical and school settingsand to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomesin single-case research are measures of behavior collected using systematic direct observation, which typically take the form of rates or proportions. For studies that use such measures, one simple and intuitive way to quantify effect sizes is in terms of proportionate change from baseline, using an effect size known as the log response ratio. This paper describes methods for estimating log response ratios and combining the estimates using meta-analysis. The methods are based on a simple model for comparing two phases, where the level of the outcome is stable within each phase and the repeated outcome measurements are independent. Although auto-correlation will lead to biased estimates of the sampling variance of the effect size, meta-analysis of response ratios can be conducted with robust variance estimation procedures that remain valid even when sampling variance estimates are biased. The methods are demonstrated using data from a recent meta-analysis on group contingency interventions for student problem behavior.