**Show notes**
In this episode, Dan and James welcome back Daniel Lakens (Eindhoven University of Technology) to discuss his new paper on justifying your alpha level.
Highlights:
- Why did Daniel write this paper?
- Turning away from mindless statistics
- Incremental vs. seismic change in statistical practice
- The limitations to justifying your alpha
- The benefits of registered reports
- Daniel’s coursera course
- What’s better? Two pre-registered studies at .05 or one unregistered study at .005?
- Testing at the start of semester vs. the end of semester
- Thinking of controlling for Type 1 errors as driving speed limits
- Error rates mean different things between fields
- What if we applied the “5 Sigma” threshold used in physics to the biobehavioral sciences?
- What about abandoning statistical significance
- How did Daniel co-ordinate a paper with 88 co-authors?
- Using time zones to your benefit when collaborating
- How can junior researchers contribute to these types of discussions?
- Science by discussion, not manifesto
- The dangers of blanket recommendations
- How do you actually justify your alpha from scratch?
Links
Daniel on Twitter - www.twitter.com/lakens
Daniel’s courser course - www.coursera.org/learn/statistical-inferences
Justify your alpha paper - psyarxiv.com/9s3y6
Abandon statistical significance - arxiv.org/abs/1709.07588
Using the costs of error rates to set your alpha - doi.org/10.1111/j.1461-0248.2004.00625.x
