Thank you so much for these lectures! You're making research easy to understand and accessible for everyone. I do have 2 questions though... (1) Should I include cross-loadings for the moderators? (in SmartPLS there's a column in the cross-loading with Variable A x Variable B) Or should I remove that and focus on the individual variables when writing? (2) What if you have a variable with a categorical measurement type? Let's say socioeconomic class. Do I need to establish discriminant validity for that?
Good evening Sir, Your lectures are superb. I just have one doubt , that what should we do incase the discriminant validity- HTMT value is above 0.9? Thank You
Assalamualaikum. In my basic model, the relability and HTMT for all variable were good. but after coverting two LV into one higher order construct the chronbach alpha became .404 of this HOC and its HTMT with two another constructs is 1.02. How to solve this issue? or shall I consider the reliability and vality scores before converting it into HOC?
Good evening Sir, Your lectures are superb. I just have one doubt , that what should we do when in the Fornell Larcker criterion table, the correlation value among the construct is more than the value of Variance within the construct?
What if one of the construct is more than 0.9 in Heterotrait-Montrait Ratio? What should I do for this issue? Furthermore, the cross loading for 3 items are more than 0.7. That 3 items are more than 0.708 in the Indicator Reliability Test, yet the items do not affect the AVE > 0.5. Should I delete the items?
If HTMT is higher and deleting cross-loading items can help establish discriminant validity, you may delete them one by one and see how it affects HTMT.
Insightful lecture. in a research paper for reporting Discriminant Validity, do we need to write all the methods (Fornell & Larcker Criterion Heterotrait Monotrait Ratio, Cross Loadings)?
Thank you so much for these lectures! You're making research easy to understand and accessible for everyone. I do have 2 questions though... (1) Should I include cross-loadings for the moderators? (in SmartPLS there's a column in the cross-loading with Variable A x Variable B) Or should I remove that and focus on the individual variables when writing? (2) What if you have a variable with a categorical measurement type? Let's say socioeconomic class. Do I need to establish discriminant validity for that?
Thanks for watching. Crossloadings for the moderating effect are not reported.
Good evening Sir, Your lectures are superb. I just have one doubt , that what should we do incase the discriminant validity- HTMT value is above 0.9?
Thank You
Thanks for watching. Please watch
ruclips.net/video/m6tUlGiH9_M/видео.html
@@researchwithfawad Thank you so much Sir. Thanks a lot :)
Excellent and concise lecture. Voice qlty is superb.
Thanks. I am glad you liked it
Assalamualaikum. In my basic model, the relability and HTMT for all variable were good. but after coverting two LV into one higher order construct the chronbach alpha became .404 of this HOC and its HTMT with two another constructs is 1.02.
How to solve this issue? or shall I consider the reliability and vality scores before converting it into HOC?
WAS. Alpha is low because of the no. of items. You can check SD and see if there is no SD, if so remove that response.
Good evening Sir, Your lectures are superb. I just have one doubt , that what should we do when in the Fornell Larcker criterion table, the correlation value among the construct is more than the value of Variance within the construct?
Thanks for watching. Please watch
ruclips.net/video/m6tUlGiH9_M/видео.html
@@researchwithfawad Thank you so much Sir. Thanks a lot :)
Hi. have HTMT which is of a value of 0,864. I see it is not highlighted green. How do I go about fixing it to be within acceptable level?
Please refer to the following video
ruclips.net/video/m6tUlGiH9_M/видео.html
since Fornell-Larcker criterion is not in use anymore, why it is still provided in the latest software?
It is still used, although HTMT is preferred
What if one of the construct is more than 0.9 in Heterotrait-Montrait Ratio? What should I do for this issue?
Furthermore, the cross loading for 3 items are more than 0.7. That 3 items are more than 0.708 in the Indicator Reliability Test, yet the items do not affect the AVE > 0.5. Should I delete the items?
If HTMT is higher and deleting cross-loading items can help establish discriminant validity, you may delete them one by one and see how it affects HTMT.
@@researchwithfawad It’s work! Appreciate Mr Fawad’s advice! ^^
Insightful lecture. in a research paper for reporting Discriminant Validity, do we need to write all the methods (Fornell & Larcker Criterion
Heterotrait Monotrait Ratio, Cross Loadings)?
Fornell & Larcker Criterion and HTMT Ratio are enough
Very valuable and precise video
I am glad you liked it.
Sir my dependant variable is at top and independant is below it in smart pls 4 discriminant validity result is it wrong?
Thanks for your interest and comment. Please watch this tutorial, i hope your problem will be addressed.
ruclips.net/video/m6tUlGiH9_M/видео.html
The yellow halo around the cursor sometimes blocks the view
Thanks for the suggestion. I know but it is important for some reasons.