The Need for Nuance in the Null Hypothesis Significance Testing Debate
Journal article, 2017

Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are a number of ways in which it is often abused and misinterpreted, with bad consequences for the reliability and progress of science. Parts of contemporary NHST debate, especially in the psychological sciences, is reviewed, and a suggestion is made that a new distinction between strongly, weakly, and very weakly anti-NHST positions is likely to bring added clarity to the debate.

statistics

p value

hypothesis testing

Author

Olle Häggström

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Educational and Psychological Measurement

0013-1644 (ISSN) 15523888 (eISSN)

Vol. 77 4 616-630

Subject Categories

Mathematics

DOI

10.1177/0013164416668233

More information

Created

10/7/2017