Bayesian Statistics allows combining prior information of a population to the current sample of experimentation to create stronger inferences. Dr. Taylor Winter, Senior Lecturer in Mathematics and Statistics at @universityofcanterbury , takes us through some of the basic ideas around Bayesian statistics and how he uses it in Social Psychology research.
00:00 Introduction and Background of Dr. Taylor Winter
08:08 Transitioning from Neuroscience to Statistics
18:11 Understanding Bayesian Statistics
28:02 Social Identity Theory and Authoritarianism
33:59 Cultural Perspectives on Authoritarianism
41:31 How Bayesian stats differs from Traditional Statistics test
47:43 Transparency in Bayesian Statistics
49:18 Generating Priors (Bayesian Statistics)
52:43 Fabricating Data 54:18 Examples of Generating Priors
58:11 Working with Statistics in Industry vs Academia
1:05:23 Accounting for Variance/Error in Data
1:09:36 Machine Learning, AI, Ethics and Bayesian Statistics
1:14:51 Problem with Gut microbiome and Wellbeing Research
1:18:34 Social Identity Theory and Mental Health
1:20:27 Dungeons and Dragons as Therapy?
1:27:43 Final Thoughts
We discuss examples from Dr. Winter's work on authoritarianism and social identity theory as well as learn the the differences between his time working in industry vs academia. Lastly, we discuss his culture focused projects including Dungeons and Dragons and how Māori culture can manifest behavioural change.
Podcast is available on all major platforms
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