Blog Archives

LMU psychology department distributes funding based on criteria of research transparency

February 26, 2018
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The Psychology Department at LMU Munich continues to change the incentive structure towards reproducible and open science. The internal distribution of funding now partly is based on transparency criteria: Publications with open data, open material and...

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Optional stopping does not bias parameter estimates (if done correctly)

February 23, 2018
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tl;dr: Optional stopping does not bias parameter estimates from a frequentist point of view if all studies are reported (i.e., no publication bias exists) and effect sizes are appropriately meta-analytically weighted. Several recent discussions on the ...

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Introducing the p-hacker app: Train your expert p-hacking skills

February 16, 2018
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[This is a guest post by Ned Bicare, PhD]   Start the p-hacker app! My dear fellow scientists! “If you torture the data long enough, it will confess.” This aphorism, attributed to Ronald Coase, sometimes has been used in a disrespective manner, ...

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Open Science and research quality at the German conference on psychology (DGPs congress in Leipzig)

February 15, 2018
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From 17th to 22th September, the 50th anniversary congress of the German psychological association takes place in Leipzig. On previous conferences in Germany in the last two or three years, the topic of the credibility crisis and research transparency ...

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Honoured to receive the Leamer-Rosenthal-Prize

February 10, 2018
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I’m honoured that the Berkeley Initiative for Transparency in the Social Sciences (BITSS) chose me for one of the 2016 Leamer-Rosenthal Prizes for Open Social Science! This award comes with a prize of $10,000 and “recognizes important contrib...

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Two meanings of priors, part I: The plausibility of models

February 5, 2018
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by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may not be intuitively clear...

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Two meanings of priors, part II: Quantifying uncertainty about model parameters

January 17, 2018
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by Angelika Stefan & Felix Schönbrodt This is the second part of “Two meanings of priors”. The first part explained a first meaning – “priors as subjective probabilities of models”. While the first meaning of priors r...

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German Psychological Society fully embraces open data, gives detailed recommendations

December 27, 2017
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tl;dr: The German Psychological Society developed and adopted new recommendations for data sharing that fully embrace openness, transparency and scientific integrity. Key message is that raw data are an essential part of an empirical publication and mu...

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Assessing the evidential value of journals with p-curve, R-index, TIVA, etc: A comment on Motyl et al. (2017) with new data

October 6, 2017
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Recently, Matt Motyl et al. (2017) posted a pre-print paper in which they contrasted the evidential value of several journals in two time periods (2003-2004 vs. 2013-2014). The paper sparked a lot of discussion in Facebook groups [1][2], blog posts com...

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Correcting bias in meta-analyses: What not to do (meta-showdown Part 1)

October 5, 2017
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tl;dr: Publication bias and p-hacking can dramatically inflate effect size estimates in meta-analyses. Many methods have been proposed to correct for such bias and to estimate the underlying true effect. In a large simulation study, we studied which me...

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