One-Way ANOVAs and What's REALLY Important

A one-way ANOVA (like any other statistical analysis) cannot magically transform a flawed study into a sound one. And where can a study be flawed the most? The answer to this question is unrelated to F-tests, equal variance assumptions, effect size indices, or Bonferroni adjustments. That's because the potential worth of any study is connected, first and foremost, to the research question that sets the data collection and analysis wheels in motion. If the research question is silly or irrelevant, a one-way ANOVA cannot make the study worthwhile. Hence, do not be impressed by researchers who use one-way ANOVAs until you have first considered the merits of the research questions being addressed.

(From Chapter 11 in the 6th edition, pp. 254-255)

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Schuyler W. Huck
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