Applications of Partial Least Squares Structural Equation Modeling in Tourism Research
Partial least squares structural equation modeling (PLS-SEM), as an alternative technique to traditional covariance-based structural equation modeling (CB-SEM), offers greater flexibility with regard to data assumptions and could be better harnessed by tourism researchers as a research tool. This ar...
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2012
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| Online Access: | http://hdl.handle.net/10725/3723 http://dx.doi.org/10.3727/108354212X13485873914128 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://search.ror.unisa.edu.au/record/UNISA_ALMA11143254720001831/media/digital/open/9915909690001831/12143254710001831/13143251180001831/pdf |
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| Summary: | Partial least squares structural equation modeling (PLS-SEM), as an alternative technique to traditional covariance-based structural equation modeling (CB-SEM), offers greater flexibility with regard to data assumptions and could be better harnessed by tourism researchers as a research tool. This article reviews four selected tourism articles using PLS-SEM to highlight the key methodological issues of applying the technique. In so doing, the article provides guidelines for researchers adopting PLS-SEM as a data analysis tool in tourism research, especially when data are multivariate nonnormal and the model includes formative and reflective constructs. |
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