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'''SmartPLS''' is a software with graphical user interface for variance-based [[Structural equation modeling|structural equation modeling (SEM)]] using the [[Partial least squares path modeling|partial least squares (PLS) path modeling]] method.<ref>Wong, K. K. K. (2013). [http://marketing-bulletin.massey.ac.nz/V24/MB_V24_T1_Wong.pdf 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.</ref><ref>Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). ''A primer on partial least squares structural equation modeling (PLS-SEM),'' Thousand Oaks, CA: Sage Publications.</ref><ref>Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). ''Advanced issues in partial least squares structural equation modeling (PLS-SEM),''Thousand Oaks, CA: Sage Publications.</ref><ref>{{Cite book|url=https://books.google.de/books?hl=de&lr=&id=hG-KDwAAQBAJ&oi=fnd&pg=PP13&ots=pcZ3L2zAtZ&sig=eRNPDXTSSs0Om_I3LGOsZqLLdms#v=onepage&q&f=false|title=Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours|last=Wong|first=Ken Kwong-Kay|date=2019-02-22|publisher=iUniverse|isbn=9781532066481|language=en}}</ref> Besides estimating path models with latent variables using the PLS-SEM algorithm,<ref>Lohmöller, J.-B. (1989). [https://www.worldcat.org/oclc/891146763 Latent Variable Path Modeling with Partial Least Squares]. Physica: Heidelberg, p. 29.</ref><ref>[[Herman Wold|Wold, H. O. A]]. (1982). Soft Modeling: The Basic Design and Some Extensions, in: K. G. Jöreskog and H. O. A. Wold (eds.), [https://www.worldcat.org/title/systems-under-indirect-observation-part-ii/oclc/935122330 Systems Under Indirect Observations: Part II], North-Holland: Amsterdam, pp. 1-54, pp. 2-3.</ref> the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit)<ref>Ramayah, T., Cheah, J., Chuah, F., Ting, H., and Memon, M. A. (2016). [https://www.researchgate.net/publication/312460772_Partial_Least_Squares_Structural_Equation_Modeling_PLS-SEM_using_SmartPLS_30_An_Updated_and_Practical_Guide_to_Statistical_Analysis Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS 3.0: An Updated and Practical Guide to Statistical Analysis], Singapore et al.: Pearson, pp. 59-148.</ref> and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup).<ref>Garson, G. D. (2016). [http://www.statisticalassociates.com/pls-sem.htm Partial Least Squares Regression and Structural Equation Models], Statistical Associates: Asheboro, pp. 122-188.</ref> Since SmartPLS is programmed in [[Java (programming language)|Java]], it can be executed and run on different computer [[operating systems]] such as [[Microsoft Windows|Windows]] and [[Macintosh operating system|Mac]].<ref>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.), [https://www.worldcat.org/title/handbook-of-partial-least-squares-concepts-methods-and-applications/oclc/990473184 Handbook of Partial Least Squares: Concepts, Methods and Applications], Springer: Berlin-Heidelberg, pp. 737-756, p.745.</ref> |
'''SmartPLS''' is a software with graphical user interface for variance-based [[Structural equation modeling|structural equation modeling (SEM)]] using the [[Partial least squares path modeling|partial least squares (PLS) path modeling]] method.<ref>Wong, K. K. K. (2013). [http://marketing-bulletin.massey.ac.nz/V24/MB_V24_T1_Wong.pdf 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.</ref><ref>Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). ''A primer on partial least squares structural equation modeling (PLS-SEM),'' Thousand Oaks, CA: Sage Publications.</ref><ref>Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). ''Advanced issues in partial least squares structural equation modeling (PLS-SEM),''Thousand Oaks, CA: Sage Publications.</ref><ref>{{Cite book|url=https://books.google.de/books?hl=de&lr=&id=hG-KDwAAQBAJ&oi=fnd&pg=PP13&ots=pcZ3L2zAtZ&sig=eRNPDXTSSs0Om_I3LGOsZqLLdms#v=onepage&q&f=false|title=Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours|last=Wong|first=Ken Kwong-Kay|date=2019-02-22|publisher=iUniverse|isbn=9781532066481|language=en}}</ref> Besides estimating path models with latent variables using the PLS-SEM algorithm,<ref>Lohmöller, J.-B. (1989). [https://www.worldcat.org/oclc/891146763 Latent Variable Path Modeling with Partial Least Squares]. Physica: Heidelberg, p. 29.</ref><ref>[[Herman Wold|Wold, H. O. A]]. (1982). Soft Modeling: The Basic Design and Some Extensions, in: K. G. Jöreskog and H. O. A. Wold (eds.), [https://www.worldcat.org/title/systems-under-indirect-observation-part-ii/oclc/935122330 Systems Under Indirect Observations: Part II], North-Holland: Amsterdam, pp. 1-54, pp. 2-3.</ref> the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit)<ref>Ramayah, T., Cheah, J., Chuah, F., Ting, H., and Memon, M. A. (2016). [https://www.researchgate.net/publication/312460772_Partial_Least_Squares_Structural_Equation_Modeling_PLS-SEM_using_SmartPLS_30_An_Updated_and_Practical_Guide_to_Statistical_Analysis Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS 3.0: An Updated and Practical Guide to Statistical Analysis], Singapore et al.: Pearson, pp. 59-148.</ref> and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup).<ref>Garson, G. D. (2016). [http://www.statisticalassociates.com/pls-sem.htm Partial Least Squares Regression and Structural Equation Models], Statistical Associates: Asheboro, pp. 122-188.</ref> <ref>{{Cite journal|last=Sarstedt|first=Marko|last2=Cheah|first2=Jun-Hwa|date=2019-06-27|title=Partial least squares structural equation modeling using SmartPLS: a software review|url=http://link.springer.com/10.1057/s41270-019-00058-3|journal=Journal of Marketing Analytics|language=en|doi=10.1057/s41270-019-00058-3|issn=2050-3318}}</ref>Since SmartPLS is programmed in [[Java (programming language)|Java]], it can be executed and run on different computer [[operating systems]] such as [[Microsoft Windows|Windows]] and [[Macintosh operating system|Mac]].<ref>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.), [https://www.worldcat.org/title/handbook-of-partial-least-squares-concepts-methods-and-applications/oclc/990473184 Handbook of Partial Least Squares: Concepts, Methods and Applications], Springer: Berlin-Heidelberg, pp. 737-756, p.745.</ref> |
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==See also== |
==See also== |
Revision as of 01:56, 4 July 2019
Original author(s) | Christian M. Ringle, Sven Wende, Jan-Michael Becker |
---|---|
Developer(s) | SmartPLS GmbH |
Initial release | 2005 |
Stable release | SmartPLS 3.2.8
/ November 22, 2018 |
Operating system | Windows and Mac |
Platform | Java |
Available in | English, German, Spanish, Portuguese, Italian, French, Chinese, Japanese, Persian, Arabic, Persian, Indonesian |
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] Besides estimating path models with latent variables using the PLS-SEM algorithm,[5][6] the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit)[7] and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup).[8] [9]Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac.[10]
See also
- Partial least squares path modeling
- Partial least squares regression
- Principal component analysis
- 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 Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM), Thousand Oaks, CA: Sage Publications.
- ^ Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). 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.
- ^ Lohmöller, J.-B. (1989). Latent Variable Path Modeling with Partial Least Squares. Physica: Heidelberg, p. 29.
- ^ Wold, H. O. A. (1982). Soft Modeling: The Basic Design and Some Extensions, in: K. G. Jöreskog and H. O. A. 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. (2016). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS 3.0: An Updated and Practical Guide to Statistical Analysis, Singapore et al.: Pearson, pp. 59-148.
- ^ 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". Journal of Marketing Analytics. doi:10.1057/s41270-019-00058-3. ISSN 2050-3318.
- ^ 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.