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 𝛽-weights and structure coefficients. The purpose of this study is to examine the use of 𝛽-weights and structure coefficients while reporting univariate multiple regression results by hospitality and tourism researchers. The findings suggested that while researchers reported 𝛽-weights, structure coefficients were not consulted. Additionally, although 𝛽-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.


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



Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.