SmartPLS
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| Original author(s) | Christian M. Ringle, Sven Wende, Jan-Michael Becker |
|---|---|
| Developer(s) | SmartPLS GmbH |
| Initial release | 2005 |
| Stable release | Smart PLS 3.3.3
/ January 11, 2021 |
| Operating system | Windows and Mac |
| Platform | Java |
| Available in | English (default language), Arabic, Chinese, French, German, Indonesian, Italian, Japanese, Korean, Malay, Persian, Polish, Portuguese, Romanian, Spanish, Urdu |
| Type | Statistical analysis, multivariate analysis, structural equation modeling, partial least squares path modeling |
| License | SmartPLS 2: Freeware, SmartPLS 3: Proprietary software |
| Website | www |
SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method.[1][2][3][4] [5]Besides estimating path models with latent variables using the PLS-SEM algorithm,[6][7] the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit)[8] and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup).[9][10][11] Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac.[12]
See also
- Estimation theory
- Partial least squares path modeling
- Partial least squares regression
- Principal component analysis
- Regression analysis
- Regression validation
- WarpPLS
References
- ^ Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), pp. 1-32, p. 1, p. 15, and p. 30.
- ^ Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.), Thousand Oaks, CA: Sage Publications.
- ^ Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling (PLS-SEM), Thousand Oaks, CA: Sage Publications.
- ^ Wong, Ken Kwong-Kay (2019-02-22). Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours. iUniverse. ISBN 9781532066481.
- ^ Mumtaz Ali Memona, T. Ramayah, Jun-Hwa Cheah, Hiram Ting, Francis Chuah and Tat Huei Cham (2021). "PLS-SEM STATISTICAL PROGRAMS: A REVIEW" (PDF). Journal of Applied Structural Equation Modeling. 5(i): i–xiv.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Physica: Heidelberg, p. 29.
- ^ Wold, H.. (1982). Soft modeling: The basic design and some extensions, in: K. G. Jöreskog and H. Wold (eds.), Systems under indirect observations: Part II, North-Holland: Amsterdam, pp. 1-54, pp. 2-3.
- ^ Ramayah, T., Cheah, J., Chuah, F., Ting, H., and Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0: An updated and practical guide to statistical analysis (2nd ed.), Singapore et al.: Pearson.
- ^ Garson, G. D. (2016). Partial least squares regression and structural equation models, Statistical Associates: Asheboro, pp. 122-188.
- ^ Sarstedt, Marko; Cheah, Jun-Hwa (2019-06-27). "Partial least squares structural equation modeling using SmartPLS: A software review" (PDF). Journal of Marketing Analytics. 7 (3): 196–202. doi:10.1057/s41270-019-00058-3. ISSN 2050-3318.
- ^ Hair, Joseph F.; Risher, Jeffrey J.; Sarstedt, Marko; Ringle, Christian M. (2019). "When to use and how to report the results of PLS-SEM". European Business Review. 31 (1): 2–24. doi:10.1108/EBR-11-2018-0203. ISSN 0955-534X.
- ^ Temme, D., Kreis, H., and Hildebrandt, L. (2010). A comparison of current PLS path modeling software: Features, ease-of-use, and performance, in: V. Esposito Vinzi, W. W. Chin, J. Henseler, and H. Wang (eds.), Handbook of partial least squares: Concepts, methods and applications, Springer: Berlin-Heidelberg, pp. 737-756, p.745.