PSYC 607 (Inferential Statistics)
I have taught Inferential Statistics and Regression at the graduate level since 2012. These are the two courses graduate students in the Psychology department at Texas A&M University are required to take their first year.
Recently I spent a large amount of time learning about Bayesian inference and Bayesian data analysis. This approach makes much more sense to me, and I gave a short course to graduate students and faculty at Texas A&M in May 2017. The course was based on John Kruschke’s (excellent) book Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan. The book’s website is here.
I also recommend JASP. It can basically replace SPSS to perform traditional analyses and it also easily performs Bayesian analyses from the General Linear Model, yielding Bayes Factors that can replace p values.
The course covers Bayesian Inference and includes hands on lectures that cover both the model comparison approach that utilizes Bayes Factors, and the parameter estimation approach that focuses on 95% highest density (or credible) intervals. I favor reporting Bayes Factors instead of p values and 95% HDIs for parameters instead of confidence intervals.
I have provided the power points for the course lectures to facilitate the field’s switch to Bayesian approaches. I highly recommend purchasing Kruschke’s book as well. The JASP tutorial is based on a tutorial E.J. Wagenmakers and others have written and made available on the Open Science Framework here.
Day 1 Lectures
Day 2 Tutorials
*Mac users had trouble getting the JAGS code to work until they installed the latest version of iquartz (or something like that).