forum.smartpls.com

Video link: https://youtu.be/l0TfK4z12D8 Description: PLS-MGA is a multi-group analysis method that has been developed for partial least squares structural equation modeling (PLS-SEM). In this video, we explain the PLS-MGA method as explained by Hair et al. (2018). As an alternative, you may use th...

Video link: https://youtu.be/QsD19-Z7T2s Description: The importance-performance map analysis (IPMA; Ringle and Sarstedt, 2016) — also called importance-performance matrix, impact-performance map, or priority map analysis — is a useful analysis approach in PLS-SEM that extends the results of the es...

Video link: https://youtu.be/Uwo2cBtT_xo Description: The heterotrait-monotrait ratio of correlations (HTMT; Henseler et al., 2015) is a new method for assessing discriminant validity in partial least squares structural equation modeling, which is one of the key building blocks of model evaluation....

The numbers in the resutls look very larger indeed. You probably did not correctly copy, paste, save and import the latent variable scores.

Sounds reasonable. Just run the two-stage approach as explained here:
https://www.sciencedirect.com/science/a ... 8219301223

Then, just run the CTA-PLS on the second stage.

PLS is just fine: CB-SEM and PLS-SEM: Sarstedt, M./ Hair, J.F./ Ringle, C.M./ Thiele, K.O./ Gudergan, S.P. Estimation Issues with PLS and CBSEM: Where the Bias Lies!, Journal of Business Research, 69 (2016), Issue 10, pp. 3998-4010. http://www.sciencedirect.com/science/article/pii/S0148296316304404 ...

Please send your issue to support@smartpls.com

Can you merge the problematic constructs?

At the end of this article, you find some recommendations (flow chart): http://link.springer.com/article/10.100 ... 014-0403-8

You find a chapter on moderation in PLS-SEM and the results interpretation here: https://www.smartpls.com/documentation/ ... s-sem-book

The book usually is available in university libraries.

In that case you may need an additional formative indicator that helps to better cover the domain of formative construct.

Avoid the circle path and/or use the latent variables scores from a model without a circular relationship and estimate the structural model with the circular path by using 2SLS (e.g. in the R program).

I would use the actual age as a single continuous moderator. Thereby, you do not lose any information. Alternatively, compare the third of the youngest against the third of the oldest (leave the middle third out) in a multigroup analysis.

Please take a look at this article which explains how to specify, estimate, and validate higher-order constructs in PLS-SEM: https://www.sciencedirect.com/science/a ... 8219301223

Insignficant total effects and negative ones (when you expect positive ones) are not reasonable for running an IPMA.

That's usually the case when there are some string values in your dataset, where SmartPLS expects numerical values. Please inspect your dataset, again, and take a look at these instructions: https://www.smartpls.com/documentation/ ... ata-import