Whats new in SmartPLS 4?

SmartPLS 4 introduces the following notable new features. As part of an early access phase, many videos on SmartPLS4 have already been created to help you with your transition. The best thing to do is to have a look at our video collection.

CB-SEM

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).

Redesigned GUI

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.

Improved performance

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

Improved data import

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

Generate new data files from your results

New datafiles can now be created from calculation results directly which is useful especiall 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.

Side by side comparison

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

Save your reports

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.

Customize charts

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.

Many new methods

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

Many included example projects

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.

32-bit support is back

32-bit support for Windows is back. With SmartPLS 3, we unfortunately had to abandon support for 32-bit systems for security and technology reasons.