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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:

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• Why did Daniel write this paper?
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• Turning away from mindless statistics
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• Incremental vs. seismic change in statistical practice
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• The limitations to justifying your alpha
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• The benefits of registered reports
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• Daniel\u2019s coursera course
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• What\u2019s better? Two pre-registered studies at .05 or one unregistered study at .005?
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• Testing at the start of semester vs. the end of semester
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• Thinking of controlling for Type 1 errors as driving speed limits
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• Error rates mean different things between fields
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• What if we applied the \u201c5 Sigma\u201d threshold used in physics to the biobehavioral sciences?
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• What about abandoning statistical significance
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• How did Daniel co-ordinate a paper with 88 co-authors?
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• Using time zones to your benefit when collaborating
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• How can junior researchers contribute to these types of discussions?
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• Science by discussion, not manifesto
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• The dangers of blanket recommendations
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• How do you actually justify your alpha from scratch?
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Links

Daniel on Twitter - https://www.twitter.com/lakens
\nDaniel\u2019s courser course - https://www.coursera.org/learn/statistical-inferences
\nJustify your alpha paper - https://psyarxiv.com/9s3y6
\nAbandon statistical significance - https://arxiv.org/abs/1709.07588
\nUsing the costs of error rates to set your alpha - https://doi.org/10.1111/j.1461-0248.2004.00625.x

Special Guest: Daniel Lakens.

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