New article: Measurement-comparable effect sizes for single-case studies of free-operant behavior
My article “Measurement-comparable effect sizes for single-case studies of free-operant behavior” has been accepted at Psychological Methods. Postprint and supporting materials are available. Here’s the abstract:
Single-case research comprises a set of designs and methods for evaluating the effects of interventions, practices, or programs on individual cases, through comparison of outcomes measured at different points in time. Although there has long been interest in meta-analytic technique for synthesizing single-case research, there has been little scrutiny of whether proposed effect sizes remain on a directly comparable metric when outcomes are measured using different operational procedures. Much of single-case research focuses on behavioral outcomes in free-operant contexts, which may be measured using a variety of different direct observation procedures. This article describes a suite of effect sizes for quantifying changes in free-operant behavior, motivated by an alternating renewal process model that allows measurement comparability to be established in precise terms. These effect size metrics have the advantage of comporting with how direct observation data are actually collected and summarized. Effect size estimators are proposed that are applicable when the behavior being measured remains stable within a given treatment condition. The methods are illustrated by two examples, including a re-analysis of a systematic review of the effects of choice-making opportunities on problem behavior.
- Operationally comparable effect sizes for meta-analysis of single-case research
- A standardized mean difference effect size for multiple baseline designs
- Current projects
- A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistics
- A standardized mean difference effect size for single case designs