Making Statistical Significance More Significant

Author:

Baker Leanne F.1,Mudge Joseph F.1

Affiliation:

1. Department of Biology, University of New Brunswick , Saint John, New Brunswick , Canada .

Abstract

Abstract We routinely set significance levels at 0.05, giving us one chance in 20 of a false positive result if the null hypothesis were true. Why? Why not instead choose values that minimise the combined chances of both false positives and false negatives? It is easy, say Leanne F. Baker and Joseph F. Mudge, so why not do it?

Publisher

Oxford University Press (OUP)

Reference10 articles.

1. The insignificance of statistical significance testing;Johnson;Journal of Wildlife Management,1999

2. Null hypothesis testing: Problems, prevalence and an alternative;Anderson;Journal of Wildlife Management,2000

3. Statistical reform in medicine, psychology and ecology;Fidler;Journal of Socio-Economics,2004

4. Effect size, confidence interval and statistical significance: A practical guide for biologists;Nakagawa;Biological Reviews of the Cambridge Philosophical Society,2007

5. On the past and future of null hypothesis significance testing;Robinson;Journal of Wildlife Management,2002

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