Article2012

Significance tests as sorcery: Science is empirical—significance tests are not

141 citations0/0 files storedTheory & Psychology

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Academic and Historical Perspectives in Psychology Statistical Methods and Bayesian Inference Psychology Research and Bibliometrics

Abstract

Since the 1930s, many of our top methodologists have argued that significance tests are not conducive to science. Bakan (1966) believed that “everyone knows this” and that we slavishly lean on the crutch of significance testing because, if we didn’t, much of psychology would simply fall apart. If he was right, then significance testing is tantamount to psychology’s “dirty little secret.” This paper will revisit and summarize the arguments of those who have been trying to tell us—for more than 70 years—that p values are not empirical. If these arguments are sound, then the continuing popularity of significance tests in our peer-reviewed journals is at best embarrassing and at worst intellectually dishonest.

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References

1992A power primer.2005Why Most Published Research Findings Are False 2013The Logic of Scientific Discovery 1959The Logic of Scientific Discovery.1936Design of Experiments 1994The earth is round (p < .05).2007The black swan: the impact of the highly improbable 1956Perception and the Representative Design of Psychological Experiments

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