Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts

Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts

The issue of tourism impacts is one that has plagued the tourism industry. This study develops a quantitative approach using hierarchical variance analysis, which deals with the exploration of the relevant factors and the confirmation of their significant contribution to analyze the residents’ perce...

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Bibliographic Details
Main Authors: Quang Hai Truong, An Thinh Nguyen, Quoc Anh Trinh, Thi Ngoc Lan Trinh, Luc Hens
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:International Journal of Environmental Research and Public Health
Subjects:
hierarchical variance analysis
residents’ perceptions
socio-demographic variables
ANOVA
linear regression model
perceived tourism impacts
Online Access:https://www.mdpi.com/1660-4601/17/8/2786

Internet

https://www.mdpi.com/1660-4601/17/8/2786

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