Bayes data analysis in the social sciences curriculum: a review

In September 2017, I attended 'Bayesian Data Analysis in the Social Sciences Curriculum', a one-day conference organised by Thom Baguley and Mark Andrews (Nottingham Trent University), marking the culmination of a 3-year ESRC funded programme on Bayesian Data Analysis. The core of this programme was an annual series of 4 workshops (www.priorexposure.org.uk), and the conference delegates included workshop graduates alongside Bayesian newbies like myself. Essentially, Bayesian data analysis is an alternative to 'classical' or 'frequentist' null hypothesis significance testing (NHST), based on probabilistic reasoning (Dienes, 2008, Andrews, 2016). Neither frequentist nor Bayesian analysis are right or wrong: they are different approaches to how scientific inference can be drawn from data sets