Abstract
The current study describes modification of change in R 2 (ΔR 2) indices used to describe a treatment's effect on the level and linear growth in outcome measures in single-subject experimental designs. A description of how to calculate each index, its standard error and associated test statistic is provided. A small simulation study was conducted to evaluate the Type I error rates of the ΔR 2 indices under various manipulated conditions, including sample size and ratio, autocorrelation, and the magnitude of the baseline phase's trend. Results are discussed and recommendations provided for researchers interested in using indices to aggregate single-subject experimental designs. Source of funding: Preparation of this article was supported by a grant from the Institute of Eduction Sciences, U.S. Department of Education. However, the opinions expressed do not express the opinions of this agency.
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