The Analysis of Experiments in Psychological Research: A Tutorial Using BANOVA

51 Pages Posted: 4 May 2021

See all articles by Michel Wedel

Michel Wedel

University of Maryland - Robert H. Smith School of Business

Chen Dong

University of Maryland - College of Computer, Mathematical and Natural Sciences

Date Written: April 12, 2021

Abstract

Bayesian methods are increasingly used in psychology for analyzing experimental data and for identifying mechanisms that mediate the experimental treatments. This paper provides a tutorial on a Bayesian approach to the Analysis of Variance (BANOVA), which provides a comprehensive and coherent framework for those analyses. BANOVA encompasses the analysis of data from between, within, and mixed experimental designs with Normal and non-Normal dependent variables and accommodates unobserved individual differences in participants’ response to the experimental manipulations. An accompanying R package allows specification of a wide range of models with a simple syntax, and can calculate planned comparisons, simple effects, floodlight ranges, indirect effects in mediation, moderated mediation, and effect sizes of direct and indirect effects. The methodology and package are illustrated with applications to three datasets from previously published studies in psychology.

Note:
Funding Statement: There was no external funding for this project.

Declaration of Interests: There are no competing interests.

Suggested Citation

Wedel, Michel and Dong, Chen, The Analysis of Experiments in Psychological Research: A Tutorial Using BANOVA (April 12, 2021). Available at SSRN: https://ssrn.com/abstract=3824898 or http://dx.doi.org/10.2139/ssrn.3824898

Michel Wedel (Contact Author)

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

HOME PAGE: http://www.rhsmith.umd.edu/directory/michel-wedel

Chen Dong

University of Maryland - College of Computer, Mathematical and Natural Sciences ( email )

2300 Symons Hall,
University of Maryland
College Park, MD 20742-3255
United States

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