Dear All,
I'd like to use Smart PLS3 to run a PLS-MGA model, in which there are three variables of two values for grouping. I've come up with two questions;
1. First, do I have to report the results of model fit measures for each grouping variable separately or are the results for the complete model the one to go with?
2. Second, what if none of the fit measures is not satisfactory? What could be the reasons? What could be done to tackle the issue? I'd really appreciate any helpful reference in this regard.
An overview of the variables is as follows:
Five exogenous variables, with two of them being single-item, two three-item variables and one four-item variable.
One endogenous variable with 6 items.
Three grouping variables of two values.
The sample size is 160.
Any assistance would be welcomed.
Best Regards,
Saeed
If you have few items, I do not think you need to validate these measures but rather meet your research objectives for the overall evaluation of the model.
I absolutely agree with Cristian, you do not need to validate these measures.
Dear @Cristian Ramos-Vera and @Štefan Petrík
As long as my field is concerned, research studies published in top-tier journals tend to report these measures while applying PLS-SEM.
However, I'd be grateful if you share a reference to justify doing so.
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