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By: (Author) Jonathan Todman , (Author) Pat Dugard , (Author) Portia File
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This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel.
It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies.
The macros and example data are provided on the books website so that users can run analyses of the text data as well as data from their own studies.
Ideal as a text for graduate-level courses on single-case, small-n design, and/or randomization tests, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this books accessible approach.
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