An R package implementing several methods of estimating a design-comparable standardized mean difference effect size based on data from a single-case design. Methods include those from Hedges, Pustejovsky, & Shadish ( 2012, 2013) and Pustejovsky, Hedges, & Shadish (2014).
- Design-comparable effect sizes in multiple baseline designs: A general modeling framework
- New article: Design-comparable effect sizes in multiple baseline designs: A general modeling framework
- Analyzing single-case designs: d, G, hierarchical models, Bayesian estimators, generalized additive models, and the hopes and fears of researchers about analyses
- Operationally comparable effect sizes for meta-analysis of single-case research