1. Run all your first order construct using PLS algorithm

2. Check the indicator loading, reliability and validity

3. Go to latent variable score and copy the results and paste into your original data sets

4. Import your new data sets into the smartpls

5. Draw the new construct (2nd order construct)

6. Result from latent variable score (first order construct) will be an indicator for the second order construct

7. Run an analysis using pls algorithm for the second order ( this is the two stage)

8. Repeat the step for assessing the measurement model (reliability, validity and fitness)

9. Finally, you can test the hypothesis

Good luck!

Thank you so very much for giving a very detailed answer regarding how to run two-stage model. thank you so much bro.

I ran exactly in the same order. but you forgotten to tell what about HTMT in First stage. like in my case ALL first order and uni-dimensional constructs have good AVE & CR and HTMT in first measurement model run except for first orders whose HTMT values were not satisfactory they were in red colors for most of the first order construct (e.g. I have one one higher order construct with 4 sub-dimensions). but when I ran second measurement model with LVS scores and only with higher order construct(second order and uni-dimensional constructs), AVE, CR and HTMT were in a acceptable range. so according to my understanding since in first measurement run we just need LVS scores for higher order construct so we do not need to check their HTMT until and unless you have developed sub-hypothesis for your first order constructs. in my case since I have only hypothesis only for higher order constructs as i am more interested to see the construct as a whole then parts. therefore I do not need to correct HTMT for first order construct in first measurement model run. Therefore we need to report HTMT only for second order construct... you agree with this explanation ---------------

Asyraf Afthanorhan.... I hope to get a reply on this question too from you. thank you so much once again Asyraf.

thank you so much Alejandro Ros-Gálvez. i read this article its very helpful ..you rightly appointed about this article.