{Reference Type}: Journal Article
{Title}: A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistic.
{Author}: Shadish WR;Hedges LV;Pustejovsky JE;Boyajian JG;Sullivan KJ;Andrade A;Barrientos JL;
{Journal}: Neuropsychol Rehabil
{Volume}: 24
{Issue}: 3
{Year}: 2014
{Factor}: 2.928
{DOI}: 10.1080/09602011.2013.819021
{Abstract}: We describe a standardised mean difference statistic (d) for single-case designs that is equivalent to the usual d in between-groups experiments. We show how it can be used to summarise treatment effects over cases within a study, to do power analyses in planning new studies and grant proposals, and to meta-analyse effects across studies of the same question. We discuss limitations of this d-statistic, and possible remedies to them. Even so, this d-statistic is better founded statistically than other effect size measures for single-case design, and unlike many general linear model approaches such as multilevel modelling or generalised additive models, it produces a standardised effect size that can be integrated over studies with different outcome measures. SPSS macros for both effect size computation and power analysis are available.