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Randomization tests for multiple-baseline designs: an extension of the SCRT-R package
1Katholieke Universiteit Leuven, Leuven, Belgium. isis.bulte@ped.kuleuven.be
Abstract:
Multiple-baseline designs are an extension of the basic single-case AB phase designs, in which several of those AB designs are implemented simultaneously to different persons, behaviors, or settings, and the intervention is introduced in a staggered way to the different units. These designs are well-suited for research in the behavioral sciences. We discuss the advantages and limitations for valid inferences, and suggest a statistical technique--randomization tests--for use with multiple-baseline data, to complement visual analysis. In addition, we provide an extension of our SCRT-R package (which already contained means for conducting randomization tests on single-case phase and alternation designs), for multiple-baseline AB data.
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