#SmartPLS4

Understanding Basic Structural Equation Modelling Concepts is critical before scholars use SEM based software. The video is dedicated to describing some critical terms in Structural Equation Modelling literature: Factor Loadings, Beta Coefficient, and Reliability.
#SmartPLS #SmartPLS4 #SmartPLS_4 #pls_sem #plssem #pls #sem #structuralequationmodelling #FactoLoadings #BetaCoefficient #quantitativeresearch #Reliability #ConstructReliability

[@sripriyasaravanaguru6194]

thanks a lot professor. All your videos are so informative and useful

[@researchwithfawad]

You are welcome

[@hanspirin]

Thanks for the video

[@researchwithfawad]

Thanks for watching

[@Alhamzah_F_Abbas]

Well explained

[@researchwithfawad]

Thanks. I am glad you liked it.

[@KatibKhan-s6d]

Hello! Sir my beta coefficients are 0.012 and 0.090 respectivily but my results are significant in both the case....how should i report this as my beta is too low and is there any need to give any reference for this much low beta value

[@researchwithfawad]

Beta can be low and the results can be still significant.

[@richaagarwal1036]

Thank you so much sir for sharing these amazing videos. I have one query, sir, sir My original sample Value is -0.136, whereas my P-value comes to be 0.171. So sir what I can interpret from thesevaluese? Looking forward to your response. And at last thanks for being the savior for us.

[@researchwithfawad]

Thanks for watching. It is insignificant.

[@richaagarwal1036]

Thank you so much sir for your valuable feedback. But do the original sample values need to be always positive for significant or insignificant relations? Like the stated values do indicate that there is the no relationship between between variable X and Y or do it indicate that there is inverse relationship between these variables

[@researchwithfawad]

Values in original sample or sample mean are path coefficients. They can ve positive or negative. These values show the direction of relationship.

[@richaagarwal1036]

Thank you for your feedback, sir. That means like in my model supposably Subjective Norms showing the negative path coefficient and insignificant relationship towards Attitude. That means I can infer that increase in subjective leads to decrease in attitude of consumers?

[@researchwithfawad]

Yes but that is insignificant as p valuebis over 0.05

Hi Professor, all your videos are very informative and insightful, thanks a lot for your effort. Can you also create a video on blindfolding on SEM PLS 4? I couldn't find the Q2 values on this version.Thank you, Best.

[@researchwithfawad]

Thanks. I am glad you liked it. For that you will have to use PLSPredict. Use tue value for LV. Video is on its way soon.

[@HealthByAmar]

Pls upload all videos at once on one series .thanks

[@researchwithfawad]

I am in process of editing. Hopefully i can do it soon. Thanks for watching.

[@HealthByAmar]

@@researchwithfawad No problem Sir, I understand it, my point is make videos of all series of topic first then upload all at once, it ensure moment of learning, understanding and interest for your students. Regards

[@katherineclaire]

hi! can you provide the supporting literature for these information? thank you!

[@researchwithfawad]

Thanks for watching. You can refer to A primer on Partial Least Squares Structural Equation Model by Hair et al. Published by Sage

[@katherineclaire]

thank you! this was very helpful.