Statistical inference in behavior analysis: Some things significance testing does and does not do

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Abstract
Significance testing plays a prominent role in behavioral science, but its value is frequently overestimated. It does not estimate the reliability of a finding, it does not yield a probability that results are due to chance, nor does it usually answer an important question. In behavioral science it can limit the reasons for doing experiments, reduce scientific responsibility, and emphasize population parameters at the expense of behavior. It can, and usually does, lead to a poor approach to theory testing, and it can also, in behavior-analytic experiments, discount reliability of data. At best, statistical significance is an ancillary aspect of a set of data, and therefore should play a relatively minor role in advancing a science of behavior.

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