Abstract:
This presentation introduces a Bayesian approach to the Analysis of Variance of experimental data in consumer psychology. The BANOVA approach accommodates repeated measurement data derived from mixed within-between subject experiments, and allows a variety of distributional assumptions on the dependent variable, imputing missing values at the same time. An accompanying software package programmed in R accommodates a wide range of mediation, moderation, moderated mediation, and floodlight analyses.  The primary goals of this presentation are to illustrate the application and outline the benefits of BANOVA, and illustrate free software to implement the analyses of experimental data for consumer researchers.