Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses
This research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically val...
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doaj-69a220a25c5b4a7795796ef395532a922021-01-19T00:03:37ZengMDPI AGSustainability2071-10502021-01-011393693610.3390/su13020936Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay BusinessesNawhath Thanvisitthpon0Department of Architectural Technology, Rajamangala University of Technology Thanyaburi, Phathumthani 12110, ThailandThis research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically validated. In this study, structural equation modeling (SEM) was used to determine the statistical relevancy between the updated homestay indicators and the components. The SEM analysis involved two steps: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The EFA statistically regrouped the 31 updated indictors by six new homestay components. The six components and 31 updated indicators were further validated by CFA to determine the factor loadings and statistical reliability of the components and indicators. The factor loadings indicate the levels of importance that homestay guests attach to different homestay components and indicators. Therefore, Thai homestay operators should give priority to the components and indicators with high factor loadings.https://www.mdpi.com/2071-1050/13/2/936homestayindicator standardvalidationtourism management |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nawhath Thanvisitthpon |
spellingShingle |
Nawhath Thanvisitthpon Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses Sustainability homestay indicator standard validation tourism management |
author_facet |
Nawhath Thanvisitthpon |
author_sort |
Nawhath Thanvisitthpon |
title |
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses |
title_short |
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses |
title_full |
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses |
title_fullStr |
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses |
title_full_unstemmed |
Statistically Validated Component- and Indicator-Level Requirements for Sustainable Thai Homestay Businesses |
title_sort |
statistically validated component- and indicator-level requirements for sustainable thai homestay businesses |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-01-01 |
description |
This research proposes an updated version of homestay indicators for 10 existing component-level homestay requirements. The updated indicators were aimed to replace the decade-old original indicators for Thai homestay businesses. Besides, the 31 original homestay indictors were not statistically validated. In this study, structural equation modeling (SEM) was used to determine the statistical relevancy between the updated homestay indicators and the components. The SEM analysis involved two steps: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The EFA statistically regrouped the 31 updated indictors by six new homestay components. The six components and 31 updated indicators were further validated by CFA to determine the factor loadings and statistical reliability of the components and indicators. The factor loadings indicate the levels of importance that homestay guests attach to different homestay components and indicators. Therefore, Thai homestay operators should give priority to the components and indicators with high factor loadings. |
topic |
homestay indicator standard validation tourism management |
url |
https://www.mdpi.com/2071-1050/13/2/936 |
work_keys_str_mv |
AT nawhaththanvisitthpon statisticallyvalidatedcomponentandindicatorlevelrequirementsforsustainablethaihomestaybusinesses |
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