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Hello all, I have a short question related to the FIMIX analysis in order to detect/explain unobserved heterogeneity. I have a model with three endogenous reflective constructs that describe three different performance aspects. These constructs are measured by a number of indicators. When running th...

Thank you Dr. Becker and Prof. Ringle for your comments. This helped a lot!

Thank you Prof. Ringle. As I understand it, the mentioned criteria (information criteria / EN / rel. segment size) serve as indicators to define the appropriate number of segments in the FIMIX analysis. So, if these criteria point towards a one-segment-solution, I would assume that there is no heter...

Dear Prof. Ringle, thank you for your explanation. If I understand it right, the aim is to find a segmentation based on an explanatory variable that best approximates the results of the FIMIX segmentation. Is that correct? Running the MGA with the groups of the chosen explanatory variable would then...

Dear all, I am currently running a FIMIX analysis in order to test for unobserved heterogeneity in my model. I've done a lot of readings around that topic on how to apply the FIMIX method (Ringle/Hair/Sarstedt etc). However, I am not quite sure on how to interpret the final results with respect to t...

Thank you Dr Becker for your helpful insights. I already read the paper you mentioned but will have a look at the new PLS book. Also, I already plotted the data which pretty much confirms some form of non-linear relationship. Is there any additional reading that you might be aware of which addresses...

Hello all, I am currently analyzing a model with a hypothesized quadratic effect. However, when running the analysis in SmartPLS I get contradicting results: (1) Running the model with linear relationships only yields a significant effect (at 5% level) for the analyzed pair of variables (2) Running ...