Wasserstein et al. (2019)

Guest Post: Yudi Pawitan: “Update on Behavioral aspects in the statistical significance war-game (‘abandon statistical significance 5 years on’)

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Professor Yudi Pawitan
Department of Medical Epidemiology and Biostatistics
Karolinska Institutet, Stockholm, Sweden

[An earlier guest post on this topic by Y. Pawitan is Jan 10, 2022: Yudi Pawitan: Behavioral aspects in the statistical significance war-game]

Behavioral aspects in the statistical significance war-game

I remember with fondness the good old days when the only ‘statistical war’-game was fought between the Bayesian and the frequentist. It was simpler and the participants were for the most part collegial. Moreover, there was a feeling that it was a philosophical debate. Even though the Bayesian-frequentist war is not fully settled, we can see areas of consensus, for example in objective Bayesianism or in conditional inference. However, on the P-value and statistical significance front, the war looks less simple since it is about statistical praxis; it is no longer Bayesian vs frequentist, with no consensus in sight and with wide implications affecting the day-to-day use of statistics. Continue reading

Categories: abandon statistical significance, game-theoretic analyses, Wasserstein et al. (2019) | 12 Comments

Guest Post: “Daniël Lakens: How were we supposed to move beyond  p < .05, and why didn’t we? “(part 1 of 2):

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Professor Daniël Lakens
Human Technology Interaction
Eindhoven University of Technology

*[Some earlier posts by D. Lakens on this topic are listed at the end of part 2, forthcoming this week]

How were we supposed to move beyond  p < .05, and why didn’t we?

It has been 5 years since the special issue “Moving to a world beyond p < .05” came out (Wasserstein et al., 2019). I might be the only person in the world who has read all 43 contributions to this special issue. [In part 1] I will provide a summary of what the articles proposed we should do instead of p < .05, and [in part 2] offer some reflections on why they did not lead to any noticeable change. Continue reading

Categories: abandon statistical significance, D. Lakens, Wasserstein et al. (2019) | 23 Comments

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