@@businessresearchguidance2990 yes thanks a lot, please I have a question,I have a model with moderator variables when I tested CMB before adding gender and age I find VIF (collinearity statistics)3.3 for 3 variables and I don't know how can I deal with it,
Since this is a reflective model, you must use Consistent PLS-SEM Bootstrapping to calculate the meaningful results. Please revise your video to avoid misleading others.
very easy way to learn, Thank You Sir
Jazakallah khair!
This helped me big time, thank you.
You're welcome.🙏
Thank you
You are welcome!
thank you so much
You're welcome!
i think you should first detect the common method bias before doing the moderation analysis
Yes, CBM can occur in survey data when we measure independent, dependent, moderator, and mediator variables with the same method.
@@businessresearchguidance2990 yes thanks a lot, please I have a question,I have a model with moderator variables when I tested CMB before adding gender and age I find VIF (collinearity statistics)3.3 for 3 variables and I don't know how can I deal with it,
@@businessresearchguidance2990 please could you share your Gmail with me ?
Use standardized or central method to reduce the VIF.
@@businessresearchguidance2990 ok thank you so much for your help
Since this is a reflective model, you must use Consistent PLS-SEM Bootstrapping to calculate the meaningful results. Please revise your video to avoid misleading others.
Sure. Thank you for your comments. Much appreciated!
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