Bayesian analysis of experimental and observational data: a review and illustration of the BANOVA R package

Michel Wedel (), Chen Dong () and Anna Kopyakova ()
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Michel Wedel: University of Maryland
Chen Dong: Snapchat
Anna Kopyakova: Objective Platform

Journal of Marketing Analytics, 2024, vol. 12, issue 3, No 19, 735-742

Abstract: Abstract This article provides a review of the BANOVA R package and an illustration of its uses in Marketing Analytics. The package allows users to conduct regression analyses and analysis of variance for between-subjects, within-subjects, and mixed designs, where the dependent variable follows one of a variety of continuous or discrete distribution functions and the data may have a hierarchical structure. The package uses stan as the underlying computing engine, and enables the calculation of simple effects, floodlight analysis, and mediation analysis. The R package is illustrated through a reanalysis of the observational data by Blake et al. (Psychol Sci 32:315–325, 2021) on the relationship between misogynistic tweets and domestic violence, and of the experimental data by Srna et al. (Psychol Sci 29:1942–1955, 2018) on the perception of multitasking.

Keywords: R Package; Bayesian statistics; Regression; Analysis of variance; Poisson distribution; Simple effects; Floodlight analysis; Mediation analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1057/s41270-024-00312-3

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