Blog Archives

Gaze-cueing and trustworthiness: New paper + raw data + R script on OSF

September 7, 2015
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Recently, a student of mine (Felix Senbach, now at the University of Edinburgh) and I published a little study on gaze-cueing, and how it is moderated by the trustworthiness of the gazing person. In a nutshell, although instructed to ignore the gaze, p...

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#HIBAR: Why Using Age as a Proxy for Testosterone is a Bad Deal.

September 7, 2015
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This is a post-publication peer review (HIBAR: “Had I Been A Reviewer”) of the following paper: Levi, M., Li, K., & Zhang, F. (2010). Deal or no deal: Hormones and the mergers and acquisitions game. Management Science 56, 1462 -1483. A ...

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Introducing: The Open Science Committee at our department

July 28, 2015
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Large-scale replication projects of the last years (e.g., ManyLabs I, II, and III, Reproducibility Project: Psychology) showed that the “replication crisis” in psychology is more than just hot air: According to recent estimates, ~60% of cur...

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Grades of evidence – A cheat sheet

April 17, 2015
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There are at least three traditions in statistics which work with a kind of likelihood ratios (LRs): the “Bayes factor camp”, the “AIC camp”, and the “likehood camp”. In my experience, unfortunately most people do no...

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A Compendium of Clean Graphs in R

March 14, 2015
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[This is a guest post by Eric-Jan Wagenmakers and Quentin Gronau introducing the RGraphCompendium. Click here to see the full compendium!] Every data analyst knows that a good graph is worth a thousand words, and perhaps a hundred tables. But how shoul...

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What does a Bayes factor feel like?

January 30, 2015
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A Bayes factor (BF) is a statistical index that quantifies the evidence for a hypothesis, compared to an alternative hypothesis (for introductions to Bayes factors, see here, here or here). Although the BF is a continuous measure of evidence, humans lo...

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A short taxonomy of Bayes factors

November 21, 2014
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[Update Oct 2014: Due to some changes to the Bayes factor calculator webpage, and as I understand BFs much better now, this post has been updated …] I started to familiarize myself with Bayesian statistics. In this post I’ll show some insig...

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Reanalyzing the Schnall/Johnson “cleanliness” data sets: New insights from Bayesian and robust approaches

July 22, 2014
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[mathjax] I want to present a re-analysis of the raw data from two studies that investigated whether physical cleanliness reduces the severity of moral judgments – from the original study (n = 40; Schnall, Benton, & Harvey, 2008), and from a ...

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Perspektive statt Befristung: Für mehr feste Arbeitsplätze im Wissenschaftsbereich

May 16, 2014
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Exzellente Hintergrundinformation gibt es auch im Blog von Markus Dahlem, z.B.: [1], [2], oder [3]. Facebook-Gruppe: https://www.facebook.com/akademischeJuniorposition Folgende Abbildung sagt eigentlich alles: (R.Kreckel, Habilitation vs. Tenure Track,...

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A comment on “We cannot afford to study effect size in the lab” from the DataColada blog

May 8, 2014
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In a recent post on the DataColada blog, Uri Simonsohn wrote about “We cannot afford to study effect size in the lab“. The central message is: If we want accurate effect size (ES) estimates, we need large sample sizes (he suggests four-digi...

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