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You can double-click on a construct and then select "sum scores". This will give you equal weights. However, this does not necessarily give equal outer loadings. Such a procedure does not exists, because the indicator loadings with the final composite will depend on the amount of cross-cor...

You can determine if the interaction is significant by looking at the three-way product terms in bootstrapping. Assessment of conditional direct effects can give you an additional idea of how and where the interaction has its effects, i.e., how it changes the effects and which of these specific cond...

I think that Diamantopoulos, Riefler, and Roth discuss the identification of model with formative measure in the context of CB-SEM not PLS-SEM. In PLS-SEM you can have a model with only formative measures, because it is a composite-based estimator. Identification rules in PLS are different than in C...

The new SmartPLS 4 will support three-way interactions (and even higher interactions) without the need to go outside the software. The pre-release is already available for testing: https://www.smartpls.com/smartpls4/

Since the beginning of June, you can now get early access through the SmartPLS website: https://www.smartpls.com/smartpls4/

The official release will be in August.

At the moment we have a closed Beta testing phase that is by invitation only. Next step will be an open Beta for all users.

Please contact our technical support team: https://www.smartpls.com/support
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This paper should explain how to do it in PLS-SEM: https://dl.acm.org/doi/abs/10.1145/3505639.3505645

You can find good descriptions of the algorithm in the original papers by Wold or Lohmöller: Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Heidelberg, Germany: Physica. Wold, H. O. A. (1982). Soft modeling: The basic design and some extensions. In K. G. Jöreskog ...

Please write to our technical support team: https://www.smartpls.com/support

Please read the following information on the SmartPLS website: https://www.smartpls.com/documentation/ ... s-problems

If course you can find that lower-order constructs individually show discriminant validity, while the higher-order construct does not. The higher-order construct is a separate own measurement concept and the combination of items (in this case lower-order components) might be quite similar to a diffe...

If you do bootstrapping and choose the option "Complete" you will get confidence intervals etc. for both HTMT and latent variable correlations. The usual order is by name following the alphabet. That is not so weird as it sounds :-) If you want to reorder them you can use different names f...

As PLS standardizes all data, differences in scales are not so important. However, the whole analysis rest on the assumption of metric or at least quasi-metric data. With 5 or 7 point Likert scales researchers often assume quasi-metric data (and equidistance of the response categories). However, som...

You should find an explanation of p-values in every good introductory statistics book. It is nothing specific to PLS, but also used for regression, t-test, whatever.