Standardize mean difference effect size estimation based on hierarchical models for single-case designs.
scdhlm implements methods for estimating a design-comparable standardized mean difference effect size based on data from a single-case design. The following functions are available:
g_REML implements the corrected REML estimator for a fitted
as described in Pustejovsky, Hedges, and Shadish (2014).
effect_size_MB implements the HPS estimator for the multiple baseline design,
as described in Hedges, Pustejovsky, and Shadish (2013).
effect_size_ABk implements the HPS estimator for the (AB)^k design,
as described in Hedges, Pustejovsky, and Shadish (2012).
The package also includes the data used in the examples from each paper, as well as a few other datasets:
James E. Pustejovsky <[email protected]>
Hedges, L. V., Pustejovsky, J. E., & Shadish, W. R. (2012). A standardized mean difference effect size for single case designs. Research Synthesis Methods, 3, 224-239. doi:10.1002/jrsm.1052
Hedges, L. V., Pustejovsky, J. E., & Shadish, W. R. (2013). A standardized mean difference effect size for multiple baseline designs across individuals. Research Synthesis Methods, 4(4), 324-341. doi:10.1002/jrsm.1086
Pustejovsky, J. E., Hedges, L. V., & Shadish, W. R. (2014). Design-comparable effect sizes in multiple baseline designs: A general modeling framework. Journal of Educational and Behavioral Statistics, 39(4), 211-227. doi:10.3102/1076998614547577
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