title: A standardized mean difference effect size for single case designs.
abstract: Single case designs are a set of research methods for evaluating treatment effects by assigning different treatments to the same individual and measuring outcomes over time and are used across fields such as behavior analysis, clinical psychology, special education, and medicine. Emerging standards for single case designs have focused attention on the need for effect sizes for summarizing and meta-analyzing findings from the designs; although many effect size measures have been proposed, there is little consensus regarding their use. This article proposes a new effect size measure for single case research that is directly comparable with the standardized mean difference (Cohen's d) often used in between-subjects designs. Techniques are provided for estimating the new effect size, as well as its variance, from balanced or unbalanced treatment reversal designs. The proposed estimation methods are further evaluated using a simulation study and then demonstrated in two applications. Copyright © 2012 John Wiley & Sons, Ltd.
authors.affiliation: Northwestern University, Evanston, IL, USA.
authors.forename: Larry V
authors.initials: LV
authors.lastname: Hedges
authors.affiliation: Northwestern University, Evanston, IL, USA.
authors.forename: James E
authors.initials: JE
authors.lastname: Pustejovsky
authors.affiliation: University of California, Merced, CA, USA.
authors.forename: William R
authors.initials: WR
authors.lastname: Shadish
keywords: autocorrelation; effect size; hierarchical linear model; single case designs