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1) Yes. The bootstrapping procedure standardizes each sample and not the original data that it samples from. In this sense we are following Hayes recommendation, although this has been the standard practice in PLS much longer than Hayes Macros exist. Because it is something not only important for th...

Are you using PLS? How do you ad covariances there? Could you show us your model?

Q2: Some of the model fit indices do not work (are not defined) for repeated-indicator models. There the same indicator appears more than once in the model and thereby causes perfect correlation in the indicator correlation matrix between the two repeated indicators. Q1: The above might also be an i...

2) Are you sure that you compared A against B and not the other way around? In SmartPLS the order of group comparisons depends on how you set them up in the initial dialog and is not alphabetically. 3) Your result would be significant on a one-sided test with 10% probability. If you want to test a t...

You might also want to read the following paper: Becker, J.-M., Ringle, C. M., and Sarstedt, M. 2018. Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation x Data Treatment. Journal of Applied Structural Equation Modeling, 2(2): 1-21. http://jasemjournal.com/journal-of-a...

First, it would be a good idea to use the search function. I'm pretty sure that are several discussions about control variables in PLS here.

Then to provide a quick answer: People usually add them as single-indicator constructs (i.e., directly observed variables) into their model.

Given your information it is not clear what you did on SPSS and why it should compare to PLS results. Please provide more information.

The support ticket system is at https://support.smartpls.com/

Usually it is recommended to use 10 folds. In this case your training data is 90% of your total sample size. This training data should meet the requirements for minimum sample size. A good new source for applying PLSPredict is also the following: Shmueli, G., Sarstedt, M., Hair, J.F., Cheah, J.-H., ...

Please read the information on mediation here https://www.smartpls.com/documentation/algorithms-and-techniques/mediation and especially the literature on this issue, e.g., Cepeda, G., Nitzl, C., and Roldán, J. L. (2017). Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guide...

Both are working. Usually I would recommend to include unstandardized LOC scores because it enables you to use advanced PLS techniques such as IPMA, PLSPredict, etc. that rely on unstandardized estimates to some degree. But for the normal analysis both should provide the same standardized path coeff...

Yes, you can also send your data to the support, but please make sure that you have read and followed all the recommendations here: https://www.smartpls.com/documentation/functionalities/data-import Especially make sure that you do have only numbers after row 1 (the header row with the variable name...

The problem message already gives some suggestion to resolve the problem. Here we discussed some more. Did you try any of these?

First, I would try to replicate the finding with PLSPredict. It has a much better foundation than the Blindfolding which is a method developed in the 1980s. Second, it is generally possible if the factors with high explanatory power lead to overfitting. However, such consistency of inverse results w...