Null hypothesis significance testing: a review of an old and continuing controversy.
Null hypothesis significance testing (NHST) is arguably the most widely used approach to hypothesis evaluation among behavioral and social scientists. It is also very controversial. A major concern expressed by critics is that such testing is misunderstood by many of those who use it. Several other objections to its use have also been raised. In this article the author reviews and comments on the claimed misunderstandings as well as on other criticisms of the approach, and he notes arguments that have been advanced in support of NHST. Alternatives and supplements to NHST are considered, as are several related recommendations regarding the interpretation of experimental data. The concluding opinion is that NHST is easily misunderstood and misused but that when applied with good judgment it can be an effective aid to the interpretation of experimental data.
Nickerson
R S
RS
Department of Psychology, Tufts University, Massachusetts, USA. rnickerson@infonet.tufts.edu
D003627:Data Interpretation, Statistical; D006801:Humans; D011589:Psychology, Experimental / Q000706:statistics & numerical data*; D011594:Psychometrics; D015203:Reproducibility of Results