Books on single-subject methodology tend to focus on traditional opera
nt research techniques and thus provide little or no discussion of ran
dom introduction of treatments and statistical tests based on such ran
domization, i.e. randomization tests. Those books are the principal re
ferences to which researchers must turn for a comprehensive coverage o
f single-subject methodology, and so many researchers are likely to be
unaware of the relevance of randomization (random assignment of treat
ment times to treatments) and randomization tests to single-subject ex
perimentation. That is unfortunate because randomization is necessary
in order to draw valid statistical inferences about treatment effects.
The role of randomization in providing control over major threats to
internal validity is explained in this article, and a number of random
ized single-subject designs and their applications are provided. Appro
priate rank tests are specified, and sources of free software for othe
r, more complex, statistical tests are given. Copyright (C) 1996 Elsev
ier Science Ltd