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    Rights statement: This is the author’s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 67, 2018 DOI: 10.1016/j.tourman.2017.11.011

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Bayes factors vs. P-values

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>08/2018
<mark>Journal</mark>Tourism Management
Volume67
Number of pages15
Pages (from-to)17-31
Publication StatusPublished
Early online date8/01/18
<mark>Original language</mark>English

Abstract

The use of p-values for hypothesis testing has always been the norm in the tourism literature. This paper proposes the use of Bayes factors as an attractive alternative for hypothesis testing. As the Bayes factor is based on the Bayesian approach, which relies solely on the observed sample to provide direct probability statements about the parameters of interest, it is more suited for the purpose of hypothesis testing. Importantly, in this paper we show that the Bayes factor has nicer properties than the p-value, a fact that should be of interest irrespective of whether the user is Bayesian or not. We discuss in more details the advantages of Bayes factors, and provide several interesting recommendations throughout the paper.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 67, 2018 DOI: 10.1016/j.tourman.2017.11.011