Abstract
Multiple regression is one of the most powerful analysis techniques available to hospitality and tourism researchers for complex problems that may include prediction, mediation, and moderation. The interpretation of the results requires a two-step hierarchical approach. The first step is to determine whether the researcher has findings worth interpreting and reporting and the second step is to determine the effect(s) origins. This second step involves evaluating both the π½-weights and structure coefficients. The purpose of this study is to examine the use of π½-weights and structure coefficients while reporting univariate multiple regression results by hospitality and tourism researchers. The findings suggested that while researchers reported π½-weights, structure coefficients were not consulted. Additionally, although π½-weights were reported, they were misinterpreted in some cases. This study is helpful to hospitality management researchers as they interpret their findings as well as conduct peer reviews.
Keywords
multiple regression, suppressor effects, multicollinearity
ORCID Identifiers
Millicent Njeri - https://orcid.org/0000-0001-5043-810
Jeff Allen - https://orcid.org/0000-0003-0551
Garrett Jennings - https://orcid.org/0000-0002-9167-1525
DOI
10.5038/2771-5957.2.1.1018
Recommended Citation
Njeri, M., Allen, J., & Jennings, G. (2023). Assessing the application of π½-weights and structure coefficients in published hospitality and tourism research. Journal of Global Hospitality and Tourism, 2(1), 10-31. https://www.doi.org/10.5038/2771-5957.2.1.1018
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Included in
Business Administration, Management, and Operations Commons, Hospitality Administration and Management Commons, Marketing Commons, Tourism and Travel Commons
