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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | article |
| Published: |
2012
|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513462077489152 |
|---|---|
| author | Assaker, Guy |
| author2 | Songshan, Huang Hallak, Rob |
| author2_role | author author |
| author_facet | Assaker, Guy Songshan, Huang Hallak, Rob |
| author_role | author |
| dc.creator.none.fl_str_mv | Assaker, Guy Songshan, Huang Hallak, Rob |
| dc.date.none.fl_str_mv | 2012 2016-05-09T08:09:32Z 2016-05-09T08:09:32Z 2016-05-09 |
| dc.identifier.none.fl_str_mv | 1083-5423 http://hdl.handle.net/10725/3723 http://dx.doi.org/10.3727/108354212X13485873914128 Assaker, G., Huang, S., & Hallak, R. (2012). Applications of partial least squares structural equation modeling in tourism research: A methodological review. Tourism Analysis, 17(5), 679-686. 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 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Tourism Analysis |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research A Methodological Review |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_a0302556b74f5eca966c8a8870ddf892 |
| identifier_str_mv | 1083-5423 Assaker, G., Huang, S., & Hallak, R. (2012). Applications of partial least squares structural equation modeling in tourism research: A methodological review. Tourism Analysis, 17(5), 679-686. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/3723 |
| publishDate | 2012 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Applications of Partial Least Squares Structural Equation Modeling in Tourism ResearchA Methodological ReviewAssaker, GuySongshan, HuangHallak, RobPartial 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.PublishedN/A2016-05-09T08:09:32Z2016-05-09T08:09:32Z20122016-05-09Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1083-5423http://hdl.handle.net/10725/3723http://dx.doi.org/10.3727/108354212X13485873914128Assaker, G., Huang, S., & Hallak, R. (2012). Applications of partial least squares structural equation modeling in tourism research: A methodological review. Tourism Analysis, 17(5), 679-686.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://search.ror.unisa.edu.au/record/UNISA_ALMA11143254720001831/media/digital/open/9915909690001831/12143254710001831/13143251180001831/pdfenTourism Analysisinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/37232021-03-19T09:10:05Z |
| spellingShingle | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research Assaker, Guy |
| status_str | publishedVersion |
| title | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| title_full | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| title_fullStr | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| title_full_unstemmed | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| title_short | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| title_sort | Applications of Partial Least Squares Structural Equation Modeling in Tourism Research |
| url | 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 |