WarpPLS is available from:
Some of its main features:
- Powerful PLS-based structural equation modeling (SEM) software.
- Very easy to use, with a step-by-step user interface guide.
- Implements classic (composite-based) as well as factor-based PLS algorithms.
- Identifies nonlinear relationships, and estimates path coefficients accordingly.
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I have installed the WarpPLS 5.0 and when I start the program by clicking "Start trial license" the screen does not change and remains the same.
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> … the question whether a model-implied correlation matrix differs significantly from the empirical correlation matrix i.e., the core question of structural equation modeling.
It would be less controversial to say that testing the fit between the model-implied indicator covariance matrix and the sample indicator covariance matrix is a core issue in covariance-based SEM (CB-SEM), but not necessarily in PLS-SEM. One of the reasons why this is a core issue in CB-SEM is that the iterative process underlying CB-SEM is meant to fit those two covariance matrices.
In PLS-SEM that is not the goal, hence the model fit and quality indices currently provided by WarpPLS. This is also true for a factor-based PLS-SEM analysis, where the fitting is between model-implied and population factor covariance matrices. The publication below provides a brief overview of the factor-based approach.
Kock, N. (2015). A note on how to conduct a factor-based PLS-SEM analysis. International Journal of e-Collaboration, 11(3), 1-9.
https://docs.google.com/file/d/0B76EXfrQqs3hYkxubGxVa3RUc0U/view
Having said the above, I see merit in using CB-SEM indices in the context of PLS-SEM, but only within a broader framework including the more widely used model quality and fit indices provided by WarpPLS.
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El 21 may 2016, a las 18:15, Farheen Akram <farhee...@gmail.com> escribió:helloanyone can tell PLS is used only for primary data?
__________________________________________________________ Dr. José L. Roldán Associate Professor of Business Administration Senior Editor, The DATA BASE for Advances in Information Systems http://sigmis.org/the-data-base/ Department of Business Administration and Marketing University of Seville Ramon y Cajal, 1. 41018 Seville (SPAIN) Voice: (34) 954 554 458 / 575 Fax: (34) 954 556 989 Skype: jlroldan67 <mailto:jlro...@us.es> URL: http://personal.us.es/jlroldan
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Actually, the question could be asked in a different way: What is the best method to analyze secondary data? I would say that PLS-SEM and variations (e.g., robust path analysis) are at the very top. Here are two examples where the power of the methodological features of WarpPLS is illustrated with secondary data:
Kock, N. (2015). Wheat flour versus rice consumption and vascular diseases: Evidence from the China Study II data. Cliodynamics, 6(2), 130–146.
Kock, N., & Gaskins, L. (2014). The mediating role of voice and accountability in the relationship between Internet diffusion and government corruption in Latin America and Sub-Saharan Africa. Information Technology for Development, 20(1), 23-43.
(For the full text link to the above publications, see under “Publications” at: http://warppls.com.)
Dear Muhammad,
Yes of course, you can for example have a look at/quote the following source:
Henseler, Jörg (2017). Partial least squares path modeling. In: Leeflang, Peter S. H.; Wieringa, Jaap E.; Bijmolt, Tammo. H. A.; Pauwels, Koen H. (Eds.), Advanced Methods for Modeling Markets. Heidelberg: Springer, pp. 361-381, doi:10.1007/978-3-319-53469-5_12.
Best regards,
Florian