- Find anything…
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		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
 
- Random tweetsLoad More...- You have a symposium talk or poster at #PuG2022? You are also using #OpenScience methods? Then you should apply for this prize! 
 
 (Really, you should apply. Don't think you aren't "open" enough!)- 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: Statistics
Sailing the sea of uncertainty
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
									
						Posted in Data visualization, Methods, Statistics, Uncategorized					
					
				
				
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		Brain processes: A tale of two outcomes
Recently, I started thinking about the chances of finding that one process is involved in two separate functions. If it affects these functions completely independently and they also do not affect each other, it seems intuitive that finding both functions … Continue reading
									
						Posted in Experiment, Statistics					
					
				
								
					Tagged methods, multiple outcomes, power, statistics, stats				
				
				
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		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
									
						Posted in Methods, Statistics					
					
				
				
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		Scaling the brain: Is it dishonest to truncate your y-axis?
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
									
						Posted in Data visualization, Methods, Statistics					
					
				
				
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