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1) You may simply have insufficient power in both groups because you only have the half sample size. Especially if the effects are quite similar in both groups power is the most likely reason. 2) Again you may have power problems in one of your groups that results in insignificant effects. In additi...

Generally, combining different variables with different scales is not a problem in PLS because of the routine standardization of input data. However, PLS as does regression analysis or any other correlational method assumes metric data. Most people assume that their Likert data is at least quasi-met...

You have two options when you want to use the IPMA for a second-order construct. 1) You use the repeated-indicator approach. That should work just fine. 2) You could use the disjoint two-stage approach and take the necessary latent variable scores as unstandardized LV scores from an IPMA analysis on...

The Bonferroni correction should be the same regardless of whether you take 5% devided by 3 and then devide by 2 (for both ends) or devide 5% by 2 (for both ends) and then devide by 3. In any case it should be 0.008333333 for the lower end and 99.99166667 for the upper end. The PLS-MGA output is not...

I would actually prefer model 3 using a disjoint two-stage approach for the second-order model combined with a two-stage approach for the moderating effects. You should also read: https://www.researchgate.net/publication/333877607_How_to_specify_estimate_and_validate_higher-order_constructs_in_PLS-S...

It is rarely reported in PLS, but an F test on the R² is quite common in regression analysis. This is very similar owing to the fact that PLS is nonparameteric and therefore F test is not viable. And even low R² can be significant if it has small variability. Maybe even more interesting than the sig...

Most common problem is that people have selected a filter in the indicators list. There are three options: 1) Show all, 2) Show only used, 3) Show only unused indicators.

Sometimes variable names also contain special characters that prevent display in the indicators list or model.

Please search the forum there are plenty of answers for this problem.

If it is not already to late, this new paper might clarify your issues:
https://www.researchgate.net/publicatio ... in_PLS-SEM

I think you should read the following new paper that clarifies how to specify and validate second-order constructs:
https://www.researchgate.net/publicatio ... in_PLS-SEM

Treating Ethnicity as a control: 1) Do not add all the dummies onto one construct but model them separately as single-item constructs. Adding them to a construct doesn't make much sense. The measurement model statistics are also not meaningful in such a case. Also be aware that if you create dummy v...

1) Please send your data and model to our support. They might look at the problem. https://support.smartpls.com

2) Please also read this post: viewtopic.php?f=5&t=25181&p=43515

If you have a problem with activiation please contact our support: https://support.smartpls.com/

The "indicators" is another word for the items/manifest variables that you assign to a construct as measurement model. Thus, they are the variables in your dataset. A common problem with singular matrix in MGA is fact that people include the grouping variable in their model (e.g., gender). This vari...

First, yes you should check for measurement invariance. Second, when you test for measurement invariance, in step 3 you get a permutation estimate of the mean differences which is similar to the t-test that you want to calculate. Hence, you might just use this (assuming that you have measurement inv...