You can run covariance-based structural equation modeling (CB-SEM) analyses (like in IBM® SPSS® Amos).
Thereby, you can now create, estimate, and evaluate models using CB-SEM. You can also use this new feature to run a confirmatory factor analysis (CFA).

fimex smartpls4 cb sem

You can expect a fundamentally renewed and optimized GUI.
We have developed this over the last few years based on the latest technologies, so SmartPLS will have a long-term future.

fimex smartpls4 gui

Performance has improved significantly in many areas. Algorithms like bootstrapping or FIMIX are now much faster.

fimex smartpls4 performance

Data sets are often available in Excel or SPSS formats. SmartPLS can now read these directly, without prior conversion to a CSV file.

fimex smartpls4 spss import

New datafiles can now be created from calculation results directly which is useful especially for higher-order models.
You can select which data should be included in your new file – e.g. the scores from a PLS-SEM calculation. Immediately after that you can use the file for new calculations.

fimex smartpls4 create datafile

You can now compare reports more easily by simply opening them in our Compare View page.

fimex smartpls4 compare mode

Finally, SmartPLS reports can now be saved and opened again later. Exporting to Excel or to a website is of course still possible as well.

fimex smartpls4 save report

Diagrams can now be customized. For example, new colors or sizes for dots can be defined – but also many other properties can be changed and can also be saved as new defaults.
OpenAI provides a game-changing solution that makes automatic data coding a reality.

fimex smartpls4 customize charts

SmartPLS 4 now also supports new algorithms, model types and result representations. These include:

  • Endogeneity assessment usign the Gaussian copula approach.
  • Necessary condition analysis (NCA) including significance testing
  • Regression models
  • Path analysis and PROCESS, including bootstrapping of conditional direct and indirect effects
  • Multiple moderation (e.g., three-way interactions)
  • Accounting for scale type of variables in most algorithms
  • Standardized, unstandardized and mean-centered PLS-SEM analysis

There are now many different example model directly integrated in the software. So you can directly try out many of the functionalities, even without your own data.

fimex smartpls4 sample projects
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