Randomization tests for multiple-baseline designs: an extension of the SCRT-R package.
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.
Bulté
Isis
I
Katholieke Universiteit Leuven, Leuven, Belgium. isis.bulte@ped.kuleuven.be
Onghena
Patrick
P
D000465:Algorithms; D011897:Random Allocation; D012107:Research Design / Q000706:statistics & numerical data*; D012984:Software