Fresh off the assembly belt…
- Sailing the sea of uncertainty
- Brain processes: A tale of two outcomes
- False-positive brain: Do you really have to correct for multiple comparisons in an analysis of variance?
- Scaling the brain: Is it dishonest to truncate your y-axis?
- Deceived brain – Can twitter followers differentiate real and false memories
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You have a symposium talk or poster at #PuG2022? You are also using #OpenScience methods? Then you should apply for this prize!
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Have you submitted a poster or symposium talk to #PuG2022 and use/discuss #OpenScience practices? Apply for this prize! ⬇️🔥 https://twitter.com/igor_dgps/status/1519915051930558466
Category Archives: Methods
If one thing has changed my view of stats in the last couple of years, it has been using simulation to explore how they pan out for 10.000 studies. Using simulation is an approach that Daniël Lakens uses a lot … Continue reading
False-positive brain: Do you really have to correct for multiple comparisons in an analysis of variance?
If your stats class was anything like mine, you learned that using ANOVA instead of t-tests is a sneaky way to avoid the multiple testing problem. I still believed this until very recently and a lot of my colleagues are … Continue reading
So, the other day I responded to a tweet by Felix Schönbrodt. He called out a tweet by GESIS – Leibniz-Institut für Sozialwissenschaften that showed data on life satisfaction in Germany from 2010 to 2016 without a y-axis (below left). … Continue reading