Assessing Structural Model in Smart PLS

In this video I have explained the basics of Assessing Structural Model in Smart PLS. You will learn the calculation of F2, R2, VIF, Path Coefficient, Bootstrapping, P values and T values.

[@thomasansah293]

thank you, I had all my answers here in this video. Thank you so much

[@MafiIslam]

Thank you Professor!

[@dipaksanki4961]

Awesome explanation Sirji

[@apollarish]

Thank you so much! This explanation saved my term paper

[@chongkl820]

Thank you, Sir. I am clearer now after watching your video.

[@pareshpande5313]

Thank you sir!!!

[@amdhrubo]

Do we need to add control variables to the structural model? Do we need to check the convergent and discriminant validity of the measurement model of the control variables?

[@user-cg7ti3vh1t]

Sir, in publications as well as in PhD thesis, isnt it recommended to make PLS Algo aconsistant instead of normal PLS algo...

[@sonalika4959]

If p value is less than .05 but t value is less than 1.96 then what will be the outcome of hypothesis. P value=.04 t value=1.6