Now showing items 1-7 of 7
Statistical Sensitiveness for the Behavioral Sciences
(Open Science Framework (OSF), 2017-02-14)
Research often necessitates of samples, yet obtaining large enough samples is not always possible. When it is, the researcher may use one of two methods for deciding upon the required sample size: rules-of-thumb, quick yet ...
The fallacy of placing confidence in confidence intervals – A commentary
(Open Science Framework (OSF), 2017-05-02)
‘The fallacy of placing confidence in confidence intervals’ (Morey et al., 2016, Psychonomic Bulletin & Review, doi: 10.3758/s13423-015-0947-8) delved into a much needed technical and philosophical dissertation regarding ...
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 ...
Retract 0.005 and propose using JASP, instead
Seeking to address the lack of research reproducibility, Benjamin et al. propose a pragmatic solution: use a stricter 0.005 standard for statistical significance when claiming evidence of new discoveries. Notwithstanding ...
The logic of p-values
(PsyArxiv Preprints, 2017-12-13)
Wagenmakers et al. addressed the illogic use of p-values in 'Psychological Science under Scrutiny'. While historical criticisms mostly deal with the illogical nature of null hypothesis significance testing (NHST), Wagenmakers ...
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 ...