Thank you very much, Prof for the tutorial. Your videos have supported my research tremendously. I have a question here, I did the PLSpredict calculation but only the dependent result was shown in the report. I am using a higher-order model with a reflective-reflective construct, a reflective-formative construct and a moderation variable. My concern is only dependent items were shown in the report. Can you please help me to rectify the issue? Thank you in advance Prof!
can you tell the order of the result tables in the structural model of two stage disjoint method , ? is it 1. path analysis, 2. direct& total effect and indrct 3. specific indirect indirect , 4. R^2 f^2 and Q^2 5 RMSE
Salam Dr. if the number of indicators having lower PLS-SEM-RMSE are lesser by 2, can we delete 2 indicators with high prediction errors to make it equal so that predictive power move from low to medium?
can you explain more? example : I have 6 items under the construct. So I remove 2 but I would like to know the basis of choosing to remove that items, is it due to higher prediction errors or any other way to judge?@@researchwithfawad
Hello sir I have a total of 23 endogenous indicators, out of which 12 indicators have high LM. According to the rule, the model has low predictive power. Can we mentioned it in the paper
Assalam o akailum.. sir you are doing great job. These videos are really helpful me and other researchers.
Glad to hear that
Thank you so much sir. All your video help me a lot.
Thanks for watching
Thanks for watching.
Highly contributive. jazakAllahu kairan.
Thanks. Ameen. I am glad you liked it.
Felicitaciones muy clara la explicación
Thanks. I am glad you liked it.
Thank you for another great tutorial.
Thanks. I am glad you liked it.
Thank you very much, Prof for the tutorial. Your videos have supported my research tremendously. I have a question here, I did the PLSpredict calculation but only the dependent result was shown in the report. I am using a higher-order model with a reflective-reflective construct, a reflective-formative construct and a moderation variable. My concern is only dependent items were shown in the report. Can you please help me to rectify the issue? Thank you in advance Prof!
I am glad you liked it. Can you post the question with screenshot on SmartPLS forum. This will help in better understanding of the issue.
can you tell the order of the result tables in the structural model of two stage disjoint method , ? is it 1. path analysis, 2. direct& total effect and indrct 3. specific indirect indirect , 4. R^2 f^2 and Q^2 5 RMSE
Sir, shall i do this once for complete data set or for all the data groups. Later i will do MGA
If your focus is on each group, do for each group
Sir pls predict should be reported of latent constructs valued model or original modl
Please watch the video again for details.
Thank you
You're welcome
Sir do we need to report both Qsquare and rmse for predictive power
And do we need to report rmse of each item
Report Q Square, you do not need to report fits when using SmartPLS
Ok thnku sir
Sir I want to ask is Qsquare and pls predict different
Salam Dr. if the number of indicators having lower PLS-SEM-RMSE are lesser by 2, can we delete 2 indicators with high prediction errors to make it equal so that predictive power move from low to medium?
WAS. You may if those two items do not affect how you ha e conceptulized the construct.
can you explain more? example : I have 6 items under the construct. So I remove 2 but I would like to know the basis of choosing to remove that items, is it due to higher prediction errors or any other way to judge?@@researchwithfawad
Does deletion of two items invalidate how you have defined the concept
How do you know your histogram is symmetrical or not?
Hello sir
I have a total of 23 endogenous indicators, out of which 12 indicators have high LM. According to the rule, the model has low predictive power. Can we mentioned it in the paper
I rather not report it at first.
As my all predictive powers are red except one...how to solve this issue
Plz help
Overall, you can say it is acceptable.