Type I and Type II Errors and Repeated-Measures ANOVAs

Many researchers discuss the results of their fully repeated measures ANOVAs in such a way that it appears they have discovered Ultimate Truth. Stated differently, the language used in many research reports causes us to feel as if sample statistics and the results of inferential tests are being reified into population parameters and definitive claims. Such language ought to make you wonder whether the researchers who talk in this fashion ever were taught about Type I and Type II errors. We cannot overemphasize our concern that you should not forget about the possibility of inferential error whenever results are based on hypothesis testing, statistical testing, or the hybrid approach to assessing null hypotheses.

(From Chapter 16, p. 496)

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