Statistical Tests That Do Not Require Random Sampling. Randomized Experiments. Calculating P-Values. Between-Subjects Designs. Factorial Designs. Repeated-Measures and Randomized Block Designs. Multivariate Designs. Correlation. Trend Tests. Matching and Proximity Experiments. N-of-1 Designs. Tests of Quantitative Laws. Tests of Direction and Magnitude of Effect. Fundamentals of Validity. General Guidelines and Software Availability.
Eugene Edgington, Patrick Onghena
“…Overall, this is an interesting and well-written book that
provides a useful discussion of the theory, design, and application
of randomization tests, illustrated with appropriate examples using
experimental data. The end-of-chapter questions and exercises make
it useful also as a textbook for college students. It should be of
interest for every experimenter who is interested in randomization
or permutation tests or is skeptical about the reliability of the
assumptions of parametric tests.”
—Andreas Karlsson (Uppsala University), Journal of the Royal
Statistical Society
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