Sir what if there is a contradiction of result in case we conduct it by method 1 ( full collinearity) explained through this video and method 2 ( which is based on taking random variable in our model) ? . Also if you can bring a video on how to treat issues related to CMB ! It will be of great help!
Sir, we can run full model and then we can check inner vif values or we have to take random variables and then pointing all variables towards that random variable and then check inner vif
hello, please your model is reflective which is good to run the standard or the and the consistent PLS SEM algorithm. knowing that in my data results are different for example Rsquare is higher in consistent and NFI is n/a? what should i choose please?
Thank you prof. Which one is better to calculate CMB, using SPSS or PLS?
Thanks for watching. You can use both.
Sir what if there is a contradiction of result in case we conduct it by method 1 ( full collinearity) explained through this video and method 2 ( which is based on taking random variable in our model) ?
.
Also if you can bring a video on how to treat issues related to CMB ! It will be of great help!
Report the results that show the CMB is not an issue. Hopefully i can upload a video soon
Sir, we can run full model and then we can check inner vif values or we have to take random variables and then pointing all variables towards that random variable and then check inner vif
Is this enough for common method bias or we need to add random variable for this analysis?
CMB is enough
@@researchwithfawad How is it called the full collinarity approach? The dependent value's VIF score is still missing?
How can we assess it in smart PLS 3?
Same method. From PLS-SEM analysis check the VIF values.
@@researchwithfawad how can we check vertical and lateral colinearity
BUT ACCORDING TO JAMES GASKIN, IF WE ADD A RANDOM VARIABLE THEN ONLY CMB CAN BE CHECHKED IN SMART PLS.
This is another method.
hello, please your model is reflective which is good to run the standard or the and the consistent PLS SEM algorithm. knowing that in my data results are different for example Rsquare is higher in consistent and NFI is n/a? what should i choose please?
Run normal PLS Algorithm.
thank you again@@researchwithfawad
Sir Fawad, if more than 3.3 how to treat them?
You can add Control Variables, make sure data is collected from multiple sources, you may also transform the data.
@@researchwithfawad Dear Prof, do you have a video for this?