7. Structural Model Assessment in SmartPLS-4 || Dr. Dhaval Maheta

#sem, #smartpls, #construct, #latent, #innermodel, #path, #R2, #multicollinearity, #blindfolding, #structural
Email: [e-mail]
Twitter: / dhavalmaheta77
LinkedIn: / dhaval-maheta-320200153
Facebook ID: / dhaval.maheta.37
Telegram ID: t.me/DhavalMaheta

[@phyuzar5979]

Thank you so much Dr. Dhaval!

[@abhishekkulshrestha8425]

very insightful and explained in detail. thank you sir.

[@SHINDEAMITSHIVAJI]

Dhaval sir very helpful video on sem. Thank you so much!

[@user-tc7qw6jg8c]

F- square value of one independent variable on dependent shows 0. It that correct . If correct that what could be the interpretation sir. Hoping for your reply 😊

[@bandungmee]

Dear Prof Thank you for your resourceful video. I have a question concerning f-square. In your video, the bootstrapping is chosen with the one-tailed test type. In my situation, I have a mediator construct with a small effect size on DV. When I chose to bootstrap with one-tailed, I got a p-value of 0.034; meanwhile, when I chose to bootstrap with two-tailed, I got a p-value of 0.069 (above 0.005). Should I report the finding for the test with two-tailed or revert back with the one-tailed test of bootstrapping? Thank you

[@anitalow3628]

in case our criterion construct (endogenous)is formatively measured according to theory and past literature, is it meaningless to conduct blindfoling to get Q-squared?

[@anitalow3628]

sir, if one construct of interest (for example, loyalty to the organization)is added after staying intention. Then, we have staying intention as the mediator. How do we test the effect size (f-squared) for the mediator?

[@DhavalSaifaleeAaryash]

Just see my entire playlist...you will come to know

[@anitalow3628]

@@DhavalSaifaleeAaryash well,....moving on....thanks.

[@DhavalSaifaleeAaryash]

@@anitalow3628 you can join my whatsup channel chat.whatsapp.com/HoJ7AqIPnoW7cPSTsYekjZ

[@nomanrasheed9644]

how can we find q square size effect?

[@DhavalSaifaleeAaryash]

It is now available in pls predict. See my video on it

[@shwetarai5715]

sir, i ran the collinearity stats VIF and 17 indicators of one variable is having value of more than 5 in the collinearity of outer model but the discriminant validity and the cross loadings was okay and the values of inner model collinearity is less than 5. Pls help what can i do to fix this? New to PLS SEM PLS HELP

[@DhavalSaifaleeAaryash]

No need to worry. Your discriminant validity is ok

[@shwetarai5715]

@@DhavalSaifaleeAaryash is my collinearity condition okay? can i move on to next step criteria of PLS SEM? Thank you very much sir for replying. I am currently running a pilot test on my thesis model and following your tutorial for it. They are of great help🙏