Teaching Bayesian Methods for Experimental Data Analysis

The innumerable articles denouncing the deficiencies of significance testing urge us to reform the teaching of statistical inference for experimental data analysis. Bayesian methods are a promising alternative. However, teaching the Bayesian approach should not introduce an abrupt changeover from the current frequentist procedures: at the very least, the two approaches should co-exist for many years to come. According to this fact, we have developed statistical computer programs, that incorporate both current practices and standard Bayesian procedures. These programs are used in the graduate statistics course in psychology, where Bayesian methods are especially introduced for inferences about effect sizes in the analysis of variance framework. Most of them are available on the Internet at address: http://epeire.univ-rouen.fr/labos/eris/pac.html.