Now showing items 11-19 of 19
Manipulating the alpha level cannot cure significance testing – comments on "Redefine statistical significance"
(PeerJ Preprints, 2017-11-14)
We argue that depending on p-values to reject null hypotheses, including a recent call for changing the canonical alpha level for statistical significance from .05 to .005, is deleterious for the finding of new discoveries ...
Retract p < 0.005 and propose using JASP, instead
Seeking to address the lack of research reproducibility in science, including psychology and the life sciences, a pragmatic solution has been raised recently: to use a stricter p < 0.005 standard for statistical significance ...
The meaning of significance in data testing
(FRONTIERS MEDIA SA, 2015-08-27)
Commentary: Continuously cumulating meta-analysis and replicability
(FRONTIERS RESEARCH FOUNDATION, 2015-05-06)
Confidence intervals and tests are two sides of the same research question
(FRONTIERS RESEARCH FOUNDATION, 2015-01-28)
Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing
(FRONTIERS RESEARCH FOUNDATION, 2015-03-03)
Commentary: How Bayes factors change scientific practice
(Frontiers Media, 2016-09-30)
Dienes's (2016) article is one of the contributions to the special issue “Bayes factors for testing hypotheses in psychological research…” being published by the Journal of Mathematical Psychology. One concern I have with ...