Partial least squares structural equation modeling using SmartPLS: a software review
In their effort to better understand consumer behavior, marketing researchers often analyze relationships between latent variables, measured by sets of observed variables. Partial least squares structural equation modeling (PLS-SEM) has become a popular tool for analyzing such relationships. Particu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81615/1/Partial%20least%20squares%20structural%20equation%20modeling%20using%20SmartPLS%20a%20software%20review.pdf |
| _version_ | 1825951469354876928 |
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| author | Sarstedt, Marko Cheah, Jun Hwa |
| author_facet | Sarstedt, Marko Cheah, Jun Hwa |
| author_sort | Sarstedt, Marko |
| collection | UPM |
| description | In their effort to better understand consumer behavior, marketing researchers often analyze relationships between latent variables, measured by sets of observed variables. Partial least squares structural equation modeling (PLS-SEM) has become a popular tool for analyzing such relationships. Particularly the availability of SmartPLS, a comprehensive software program with an intuitive graphical user interface, helped popularize the method. We review the latest version of SmartPLS and discuss its various features. Our aim is to offer researchers with concrete guidance regarding their choice of a PLS-SEM software that fits their analytical needs. |
| first_indexed | 2024-03-06T10:30:29Z |
| format | Article |
| id | upm.eprints-81615 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:30:29Z |
| publishDate | 2019 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-816152020-11-02T18:06:34Z http://psasir.upm.edu.my/id/eprint/81615/ Partial least squares structural equation modeling using SmartPLS: a software review Sarstedt, Marko Cheah, Jun Hwa In their effort to better understand consumer behavior, marketing researchers often analyze relationships between latent variables, measured by sets of observed variables. Partial least squares structural equation modeling (PLS-SEM) has become a popular tool for analyzing such relationships. Particularly the availability of SmartPLS, a comprehensive software program with an intuitive graphical user interface, helped popularize the method. We review the latest version of SmartPLS and discuss its various features. Our aim is to offer researchers with concrete guidance regarding their choice of a PLS-SEM software that fits their analytical needs. Springer 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81615/1/Partial%20least%20squares%20structural%20equation%20modeling%20using%20SmartPLS%20a%20software%20review.pdf Sarstedt, Marko and Cheah, Jun Hwa (2019) Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7 (3). pp. 196-202. ISSN 2050-3318; ESSN: 2050-3326 https://link.springer.com/article/10.1057/s41270-019-00058-3 10.1057/s41270-019-00058-3 |
| spellingShingle | Sarstedt, Marko Cheah, Jun Hwa Partial least squares structural equation modeling using SmartPLS: a software review |
| title | Partial least squares structural equation modeling using SmartPLS: a software review |
| title_full | Partial least squares structural equation modeling using SmartPLS: a software review |
| title_fullStr | Partial least squares structural equation modeling using SmartPLS: a software review |
| title_full_unstemmed | Partial least squares structural equation modeling using SmartPLS: a software review |
| title_short | Partial least squares structural equation modeling using SmartPLS: a software review |
| title_sort | partial least squares structural equation modeling using smartpls a software review |
| url | http://psasir.upm.edu.my/id/eprint/81615/1/Partial%20least%20squares%20structural%20equation%20modeling%20using%20SmartPLS%20a%20software%20review.pdf |
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