Learning Bayesian Statistics

#18 How to ask good Research Questions and encourage Open Science, with Daniel Lakens

Jun 18, 2020
Daniel Lakens, an experimental psychologist at Eindhoven University of Technology, dives into the art of crafting effective research questions and experimental designs. He sheds light on the importance of open science and how it can reshape funding and publishing practices. The discussion also tackles the ongoing reproducibility crisis in psychology and the value of acknowledging flawed research. Lakens champions transparency and collaboration, advocating for better statistical education to enhance the credibility of scientific findings.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
ANECDOTE

Replication Study Confusion

  • Daniel Lakens' interest in statistics grew from a replication study where both he and the original researcher lacked statistical understanding.
  • This sparked his journey to improve research practices.
INSIGHT

Bayesian Stats in Psychology

  • Bayesian statistics entered psychology through a critique of Daryl Bem's precognition study.
  • It gained popularity for supporting null effects, although full Bayesian modeling remains rare.
ANECDOTE

Reproducibility Crisis Origins

  • Psychology's reproducibility crisis stemmed from failed replications, met with defensiveness instead of inquiry.
  • This led to the Reproducibility Project, aiming to estimate the replicability of psychological studies.
Get the Snipd Podcast app to discover more snips from this episode
Get the app