Randomization tests in single-subject designs: Illustrative examples

Abstract

Randomization tests have recently been adapted for use in the analysis of single-subject data. The advantages of these tests lie in their ease of implementation and interpretation as well as their freedom from underlying distributions. Even though numerous articles and books have explicated randomization test procedures, due to the lack of appropriate examples, very little use of these procedures has been made by applied behavior analysts. Data sets reported in a prominent applied behavior journal are used to demonstrate the application of randomization tests to the following three single-subject design models: (a) two-phase random intervention point, (b) multiple phase, and (c) multiple phase with a predicted order of effect size.