Dear Fawad, thank you very much for the clear and understandable videos you share with us. You are my model. I always attend your video seriously and I am much benefited from it. May God bless you more and more for your contributions. Keep it up!!!!!
Once again an exceptional contribution to our research journey. Dear sir, thank you so much for providing such sort of useful and informative material. To be honest, Whenever I get stuck, I visit your channel, and each time I learn something worthy. Thank you so much for sharing your knowledge.
Sir you made everything so easy. JazakAllahu khairan . Sir i had a little query. I will be really thankful if you could reply.Sir IS the coefficient of determination ie R square SAME As regression cofficient?
Thanks. I am glad you liked it. No they are different. R sq explains the variance in the endogenous variable explained by the IVs, that is the variables affecting the variable. Where as path coefficients are used to describe the relationship between a predictor variable and the criterion variable.
@ Fawad laitif sir it would be very benefical for scholars if u perform analysis on many iv,s and many dv, s as I observe in your videos you are showing many iv, s effect on one Dv but there are many scholars who are in desperate need of many dv, s as well Hope you will make video in future Thanks in advance
Thanks for the suggestions. Sure, let me do a more complex model. There is one in smartpls4 playliswith multiple mdeation paths with moderator as well.
. I am so thankful for all that you have done, and I appreciate the effort you put in.I have such deep respect for your diligent efforts and how much time you have taken to do this so well. Thank you, truly, from the bottom of my heart.
I could see that your model is reflective and still you have run simple PlS algorithm and not the consistent PLS algorithm. Can you explain the difference and usage of these two?
Thanks, Dr. I have one question. as we saw in the model, there was one insignificant relationship. thus, when we interpret the R square, should we still say that all the constructs have the ability to predict 71.9% of the DV. I mean to say, should we report R square regardless of the results whether they are significant or insignificant.?
@@researchwithfawad thanks Prof. I have another question. for the indicators loadings, if I have some loadings for some indicators between 65% to 70% and I don't want to remove them. Is there a reference to support keeping them like Hair or other scholars, please advise.
@@researchwithfawad thanks Prof, I have checked the available draft online but did not find a clear response to my query. I again thank you for your help.
Thank you very much for sharing your knowledge. May I ask you a question, Sir? the f-square value for one of the variables in my study is below 0.02 but the T value shows that it is significant (>1.96), how should I report this? your explanation will be very helpful for me.Thank you sir!
We focus on significance of results l. F square may be low. This means that removal of the variable will have a small effect on r square. But you relationship may still be significant even when f sq is low
even those who are poor in statistics could understand this. I have an additional question, can you please explain the meaning of predictive relevance in layman language?
Thanks. Lets assume you are predicting a variable. Since you are predicting a variable, how relevant is the prediction for that particular variable in your path model based on the observed values.
If Dependent variable is formative (in example with 4 factors) in measurement than how to differentiate the R2 value because it is capturing total variation from factors and independent variables at the same time.
My f square value are 0.114, 0.390 and 0.000, 0.017, 0.001 so there are values which less than 0.02, so what should i do? is it ok to have value below 0.02? Thanks in advance
Although, values are small, this is not an issue. You would need to understand what f square means, it shows whether removing an exogenous variable has a significant impact of r Square valuenof endogenous variable. Some variables may have high while others may have a low or no impact
Thank you for your explanation. I have an issue with f square, I have 8 hypotheses, and 5 of them got read values, could you please tell me how I'm going to solve this issue. because I'm finalizing my thesis and I'm a little worried about these results. I will be very grateful for your reply
If R Square is insignificant, this simply means that exogenous variables doesn't contribute significantly in change of r Square. This does not mean your model is insignificant. You should focus more on Hypotheses and their significance.
@@researchwithfawad thank you very much for your explanation. one more question When I run the structure model to check path analysis for my 8 hypotheses I got 7 non-significant p-values at (significant level 0.01), so I changed the settings to the following: 5000 subsamples, the test type into (one-tailed), and significant level is (0.05). Then I got 3 non-significant p-values, is this process valid and acceptable??. I will be very grateful for your reply
Research Scholars and Academics are welcome to suggest the next Research Webinar. Please select from the options and also circulate in your research circle. The duration will be One Day (Day: To be Announced, Timing: 10:00 - 5:00 Pakistan Standard Time) Proposed Fee: Rs. 2000 (Pakistani Scholars) $20 (International Scholars) Please Make Your Choice forms.gle/wYN1JWgcRdGATJE19 Also Kindly circulate in your Research Circle For Queries, Please email me on kh.fawad83@gmail.com
Dear sir I have the R square value for Satisfaction 0.704 and for eWOM is 0.183. now how do I interpret it? Should I write the predictive power for satisfaction was substantial but for ewom it is weak
Sir, when i try blindfolding i cant choose the default Omission distance (7) my sample is 203. Can i use omission distance in another number like 5 or something? Thankyou!
Sir I have a question.. my f square is all red (T Statistics are < 1.96), should I delete some of indicators of the construct? I will be very greatful for your explanation🙇🏻♀️
@@researchwithfawad but I still confuse that my f square in bootstrap is all red, but my f square in PLS Algorithm is 1 green and 2 black (I have 3 exogenous and 1 endogenous) which one I should look for the f square? Sorry for my bad explanation🙇🏻♀️
respected Sir I have a query, can mediator variable have more rsquare value then dependent variable, in my model mediator is havin .738 r square and dependent variable having .593 r square
@@researchwithfawad thank you sir could you please make a video 1)on slope analysis, how to analyze different slopes and how to report? 2) also is it mandatory to consider VIF? 3)what if we have negative moderating effect
Hi,Respected Sir,i hope you.will be fine these challenging days,sir how to.contact you or personal is there any way? How you review work? Kindly.share your contact or method please
Sir. you are among my best teacher. thanks. may Allah grant you barakah and rizq.
So nice of you
You are a gem.your videos are so informative and can be called 24 carat gold .stay blessed.shukriya.🙏🙏🙏
My pleasure 😊
Dear Fawad, thank you very much for the clear and understandable videos you share with us. You are my model. I always attend your video seriously and I am much benefited from it. May God bless you more and more for your contributions. Keep it up!!!!!
Thanks. I am indeed humbled by your kind words.
Found this video at the perfect timing. Thank you so much!!
So glad!
Once again an exceptional contribution to our research journey. Dear sir, thank you so much for providing such sort of useful and informative material. To be honest, Whenever I get stuck, I visit your channel, and each time I learn something worthy. Thank you so much for sharing your knowledge.
Thanks. I am glad you liked it.
Always your videos are my reference. Thank you, my dear🙏🙏🙏🙏🙏
My pleasure 😊
You are an exceptional teacher
Thanks. I am glad the video was helpful
So, interesting sir, It is based on , what I used to look for long times, thanks sir
Thanks. I am glad you liked it.
Nice explanation from basics
Thanks. I am glad you liked it
Nicely ecplained Thank you
So nice of you
Thank you so much for the knowledge sharing.
Glad it was helpful!
Wow; Excellent. Thank you, Sir, for this valuable session.
Thanks. I am glad you liked it
Thank you for your video.
Thanks. I am glad you liked it
Sir you made everything so easy. JazakAllahu khairan . Sir i had a little query. I will be really thankful if you could reply.Sir IS the coefficient of determination ie R square SAME As regression cofficient?
Thanks. I am glad you liked it. No they are different.
R sq explains the variance in the endogenous variable explained by the IVs, that is the variables affecting the variable. Where as path coefficients are used to describe the relationship between a predictor variable and the criterion variable.
@ Fawad laitif sir it would be very benefical for scholars if u perform analysis on many iv,s and many dv, s as I observe in your videos you are showing many iv, s effect on one Dv but there are many scholars who are in desperate need of many dv, s as well
Hope you will make video in future
Thanks in advance
Thanks for the suggestions. Sure, let me do a more complex model. There is one in smartpls4 playliswith multiple mdeation paths with moderator as well.
. I am so thankful for all that you have done, and I appreciate the effort you put in.I have such deep respect for your diligent efforts and how much time you have taken to do this so well. Thank you, truly, from the bottom of my heart.
Mashaa allah. Thanks for the wishes and beautiful comment. I am glad to know that the session helped. May Allah bless you.
Very informative Sir bundle of thanks
Is it necessary/mandatory to report F square and Q square in paper/thesis?
Thanks. I recommend it.
thank you sir
Most welcome
Nice
Thanks. I am glad you liked it
I could see that your model is reflective and still you have run simple PlS algorithm and not the consistent PLS algorithm. Can you explain the difference and usage of these two?
We can still use PLS algorithm, but do not assess the model fit.
@@researchwithfawad I'm sorry couldn't understand. Model fit to pls mein waisa bi nhi lta. Rest can we use the same.
Thanks, Dr.
I have one question. as we saw in the model, there was one insignificant relationship. thus, when we interpret the R square, should we still say that all the constructs have the ability to predict 71.9% of the DV. I mean to say, should we report R square regardless of the results whether they are significant or insignificant.?
Yes, R-Sq should be reported
@@researchwithfawad thanks Prof.
I have another question. for the indicators loadings, if I have some loadings for some indicators between 65% to 70% and I don't want to remove them. Is there a reference to support keeping them like Hair or other scholars, please advise.
Hair et al (2022). A Primer on Structural Equation Modelling using PLS-SEM. Sage Publications.
@@researchwithfawad thanks Prof, I have checked the available draft online but did not find a clear response to my query. I again thank you for your help.
Professor, shall i assess r , f, and q square for all the groups, or just for overall model?
If your focus is on each group, do for each group
My Q² are:
0.036
0.029
0.108
0.067
Does this imply that my model isn't up to par? Or that my results need a boost?
This is fine. If Q Square is greater than 0, the model has predictive relevance.
@@researchwithfawad Thanks for the reply!!
Thank you very much for sharing your knowledge. May I ask you a question, Sir? the f-square value for one of the variables in my study is below 0.02 but the T value shows that it is significant (>1.96), how should I report this? your explanation will be very helpful for me.Thank you sir!
We focus on significance of results l. F square may be low. This means that removal of the variable will have a small effect on r square. But you relationship may still be significant even when f sq is low
@@researchwithfawad Thank you for your explanation, Sir! 🙏
even those who are poor in statistics could understand this. I have an additional question, can you please explain the meaning of predictive relevance in layman language?
Thanks. Lets assume you are predicting a variable. Since you are predicting a variable, how relevant is the prediction for that particular variable in your path model based on the observed values.
If Dependent variable is formative (in example with 4 factors) in measurement than how to differentiate the R2 value because it is capturing total variation from factors and independent variables at the same time.
You will need to perform analysis using disjoint two stage approach. Using LVS for LOCs from the first step as indicators for HOC in the second.
@@researchwithfawad Thank you very much for guidance. If any video is available on relevant topic, please share the link
My f square value are 0.114, 0.390 and 0.000, 0.017, 0.001 so there are values which less than 0.02, so what should i do? is it ok to have value below 0.02? Thanks in advance
Although, values are small, this is not an issue. You would need to understand what f square means, it shows whether removing an exogenous variable has a significant impact of r Square valuenof endogenous variable. Some variables may have high while others may have a low or no impact
Thank you for your explanation. I have an issue with f square, I have 8 hypotheses, and 5 of them got read values, could you please tell me how I'm going to solve this issue. because I'm finalizing my thesis and I'm a little worried about these results. I will be very grateful for your reply
If R Square is insignificant, this simply means that exogenous variables doesn't contribute significantly in change of r Square. This does not mean your model is insignificant. You should focus more on Hypotheses and their significance.
@@researchwithfawad thank you very much for your explanation. one more question
When I run the structure model to check path analysis for my 8 hypotheses I got 7 non-significant p-values at (significant level 0.01), so I changed the settings to the following: 5000 subsamples, the test type into (one-tailed), and significant level is (0.05). Then I got 3 non-significant p-values, is this process valid and acceptable??. I will be very grateful for your reply
This is right way, no issues. One Tailed Test is preferred over two tailed plus 5000 bootstrap samples are also recommended.
@@researchwithfawad much appreciated
Sir, the f-square value for one of the variables in my study is above 1. Is this scenario possible or does this mean there is an error in my model?
This is very much possible and there is no error.
Dr is it possible to include control variables in SEM smartpls? If you have any videos on it please let me know. Thank you.
Ues, control variables can be included. Here is the video
ruclips.net/video/YN0I8Dy7Alk/видео.html
@@researchwithfawad Thank you, sir.
Here is how to use categorical variables as moderator
ruclips.net/video/d3BgtJ7hNlc/видео.html
Research Scholars and Academics are welcome to suggest the next Research Webinar. Please select from the options and also circulate in your research circle.
The duration will be One Day (Day: To be Announced, Timing: 10:00 - 5:00 Pakistan Standard Time)
Proposed Fee:
Rs. 2000 (Pakistani Scholars)
$20 (International Scholars)
Please Make Your Choice
forms.gle/wYN1JWgcRdGATJE19
Also Kindly circulate in your Research Circle
For Queries, Please email me on
kh.fawad83@gmail.com
Dear sir I have the R square value for Satisfaction 0.704 and for eWOM is 0.183. now how do I interpret it?
Should I write the predictive power for satisfaction was substantial but for ewom it is weak
Please watch
ruclips.net/video/jN2KFy35178/видео.html
@@researchwithfawad Thank you, Sir.
Asalamu alikum sir
Did we have f square for mediation as well.
Thank you sir
WAS. Yes, please.
Nice Sir... How can I know the effects size on relationship using mediating variable? example effect size A to C through B
Thanks. Smartpls only provide for direct effect size. size of an indirect effect through a single mediator has to be calculated manually
@@researchwithfawad could you give reference to do that Sir?
the answer given below is not updated. PLS-SEM new version calculates for both effects (direct & indirect effects) via total effects.
Sir, when i try blindfolding i cant choose the default Omission distance (7) my sample is 203. Can i use omission distance in another number like 5 or something? Thankyou!
Yes, you can
@@researchwithfawad Thankyou sir,
Sir I have a question.. my f square is all red (T Statistics are < 1.96), should I delete some of indicators of the construct? I will be very greatful for your explanation🙇🏻♀️
What is your sample size?
Since, you are having some series analysis issues
@@researchwithfawad my sample size is 100..
@@researchwithfawad but I still confuse that my f square in bootstrap is all red, but my f square in PLS Algorithm is 1 green and 2 black (I have 3 exogenous and 1 endogenous) which one I should look for the f square? Sorry for my bad explanation🙇🏻♀️
You sample size?
@@researchwithfawad my sample size is 100 samples..
My smart pls doesn't perform blindfolding procedure. What could be the reason?
Is it limited to 100 responses.
Smart pls doesn't estimate model fitness indexes.what could be the reason?
Is it limited to 100 responses.
What if our all hypothesis show insignificant i mean if p value is greater than 0.05 what to do with n that case
There may be an issue with your sample size or how you have designed the model.
respected Sir I have a query, can mediator variable have more rsquare value then dependent variable, in my model mediator is havin .738 r square and dependent variable having .593 r square
Yes, the mediator can have a higher value.
@@researchwithfawad sir any reference paper to qoute that?
Hai sir incase if a r-square value is 0.005 and If it is important variable what should we do
Check it is significant (p-value)? R-Square may be low, but the variable could still be significant.
okay sir thank you so much sir
Sir, what to do if I have negative q2 values? Is there anyway to solve this 😭😭😭
Not really, what are the values of your R-Square and f-Square
sir my r square is .167 can i qoute it ? what is the reason of low r square
2.67% is low. May be because of low sample size or the data is not good enough.
@@researchwithfawad thank you sir could you please make a video
1)on slope analysis, how to analyze different slopes and how to report?
2) also is it mandatory to consider VIF?
3)what if we have negative moderating effect
what if you get less than 50% R2
It is acceptable.
How can I cite your video in my thesis sir
I recommend cite articles or books
Hi,Respected Sir,i hope you.will be fine these challenging days,sir how to.contact you or personal is there any way?
How you review work? Kindly.share your contact or method please
You can email me on kh.fawad83@gmail.com