Bayesian Hypothesis Testing for Hospitality and Tourism Research
Bibliographic Data
| ID | 21652688 |
|---|---|
| Authors | Albert Assaf (0000-0002-3920-2844, University of Massachusetts Amherst), Mike Tsionas (0000-0001-7254-6166, Lancaster University Management School) |
| Year | 2021 |
| Volume | 45 |
| Issue | 6 |
| Pages | 1114-1130 |
| Publication date | 2021-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Hospitality & Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1096-3480 • E-ISSN: 1557-7554 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1096348020947327 |
| OpenAlex | W3082421950 |
| Language | EN |
| Citations received | 3 |
| References cited | 10 |
In hospitality and tourism research, p-values continue to be the most common approach to hypothesis testing. In this article, we elaborate on some of the misconceptions associated with p-values. We discuss the advantages of the Bayesian approach and provide several important practical recommendations and considerations for Bayesian hypothesis testing. With the main challenge of Bayesian hypothesis testing being the sensitivity of the results to prior distributions, we present in this article several priors that can be used for that purpose and illustrate their performance in a regression context
Bayes factor · Bayesian inference · Bayesian linear regression · Bayesian probability · Bayesian statistics · Econometrics · Geography · Hospitality · Prior probability · Statistical hypothesis testing · Statistics · Tourism · Computer Science · Economic and Environmental Valuation · Forecasting Techniques and Applications · Fuzzy Systems and Optimization · Mathematics · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |