Access this on-demand session for a clear, practical introduction to Bayesian approaches to statistical analysis and how they can be applied in SPSS Statistics. Bayesian methods are increasingly valued for offering a more intuitive framework for interpreting evidence, yet they remain unfamiliar to many analysts. This session demystifies the core concepts and shows how to carry out Bayesian tests in practice.

You will learn about the historical and theoretical context behind classical Frequentist statistics and how Bayesian thinking provides an alternative perspective. The session explains prior probabilities, Bayes’ theorem, credible intervals and the use of Bayes Factors as a more informative alternative to traditional p values. It then demonstrates how to run Bayesian analyses in SPSS and how to interpret the resulting output with confidence.

This is a concise, accessible introduction for anyone interested in broadening their statistical toolkit and applying Bayesian methods within SPSS.