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 book s website so that users can run analyses of
the text data as well as data from their own studies.
The new edition features:
- More explanation as to why randomization tests are useful and
how to apply them.
- More varied and expanded examples that demonstrate the use of
these tests in education, clinical work and psychology.
- A website with the macros and datasets for all of the text
examples in IBM SPSS and Excel.
- Exercises at the end of most chapters that help readers test
their understanding of the material.
- A new glossary that defines the key words that appear in
italics when they are first introduced.
- A new appendix that reviews the basic skills needed to do
randomization tests.
- New appendices that provide annotated SPSS and Excel macros to
help readers write their own or tinker with the ones provided in
the book.
The book opens with an overview of single case and small n
designs -- why they are needed and how they differ from descriptive
case studies. Chapter 2 focuses on the basic concepts of
randoization tests. Next how to choose and implement a
randomization design is reviewed including material on how to
perform the randomizations, how to select the number of
observations, and how to record the data. Chapter 5 focuses on how
to analyze the data including how to use the macros and understand
the results. Chapter 6 shows how randomization tests fit into the
body of statistical inference. Chapter 7 discusses size and power.
The book concludes with a demonstration of how to edit or modify
the macros or use parts of them to write your own.
Ideal as a text for courses on single-case, small n design,
and/or randomization tests taught at the graduate level in
psychology (especially clinical, counseling, educational, and
school), education, human development, nursing, and other social
and health sciences, 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
book s accessible approach. An introduction to basic statistics,
SPSS, and Excel is assumed.
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