I know I already commented yesterday, but I just cannot express how thankful I am. This is the greatest series on how to use AMOS on all of TH-cam. Thank you so much.
You're welcome! I'm so glad to hear that my videos have been helpful for you. It's always rewarding to know that my work is making a positive impact on others. All the best!
Hi Prof Sharif. Thank you very much for sharing your videos. They are really helpful. In this video, for modification indices, I wonder, why only one covariance way is accepted and the others are not. Do you have reference for that? I saw also in some related videos, they can covariance error terms from one constructs with ones from others and I am confused. Thanks for your help.
Thank you so much, Dr, for the series on using AMOS; helpful and insightful. I have a question concerning improving the model using the residuals table; in my model, I don't have any value equal to or more than 4.00; however, how can I decide on removing an item based on the absolute values?
Hi Professor, I have created 3 groups using cluster analysis on my first study variable (consists of 4 observed variables). Should i include this variable(4 items), in the CFA model??
Thank you very much for the helpful content. But I faced serious problem with model fit. I tried all the methods but my model is not even close to the assumptions of model fit. Where is the problem. Thank you Dr. Sharif.
aslo sir in my one construct CMIN/df value was nil, RMR VALUE was .000 and GFI and CFI value was 1.000 but my RMSEA value was .569 so, how can I improve my model fit? since RMSEA value is above .08
Prof, if I have a large sample size (n>500), can I accept lower loading values at around 0.3? I have found some literature that allows it but I'm still nervous. Thank you for the informative video!
Well.... I don't recommend it.. :) I understand there may be some studies that accepted lower loadings. However, it won't be easy to convince the examiners/reviewers.
Hi dr. if one of the variable not achieve convergent validity (ave), and i decided to remove that variable then it is not be in strucual model. Could I mention that variable is not be in strucual model because it does not achieve convergent validity in the abstract of my thesis? Note that variable became has 2 indicators and did not achieve convergent validity
Hi, sir thank you for the video it is great! I just had a question. How can we justify the correlation of error terms within the same construct in our paper? I have read that it is not allowed to do simply to improve model fit? Thanks!
You provided the authors for the recommended fit indices, but I can't find them anywhere online. I need some more information to be able to reference it. The citation alone is not enough.
Hi Dr., I have problem with discriminant validity. The model is fit and convergent validity is met. I did SD and EFA but still has problem... Do you have email? Thank you so much
Thank you for this video. It truly helped my instrument development and validation. But, why do the required points for CFI and TLI differ from other literature? Some say CFI and TLI would be a good fit if it’s greater than 0.95. Sir, can you clarify this matter? Anyway, thank you for your time.
Yes. There are different opinions. It depends how strict you want to be. You may refer to any of them as long as you acknowledge the limitations of each.
In these series of videos I have provided some solutions to improve the model fit and discriminant validity. You may need to covariate some error terms, remove weak factor loadings, etc. For discriminant validity, you need to find the item with cross loading and remove it. You may perform an EFA on the problematic constructs and find the item with cross loading.
@@saeedsharif Sir, for my one variable average variance extraction is 0.395 and after deletion of one item it goes upto 0.421 and it is greater than msv. Composite reliability is 0.88 for the same variable, can i use this value with reference to Fornell Locker reference that less than 0.5 is permissible if composite reliability is above 0.6?
@@farigreactions8202 Sometimes AVE is less than 0.5 as AVE is a bit conservative. In some of my papers I have reported AVE of less than 0.5 too. If you had an AVE of less than 0.5, refer to CR for convergent validity. This is the reference to support it: Sharif, S. P., Mostafiz, I., & Guptan, V. (2018). A systematic review of structural equation modelling in nursing research. Nurse Researcher, 26(2), 28-31.
@@farigreactions8202 For reliability measures, to be safe they should be greater than 0.7. However, I think in some of my papers I had some with CR > 0.6 too.
@@saeedsharif sir i m facing issue for GFI it is very poor, 0.84 i m increasing sample size still not improving much infact validity then gets affected which is fine now for variables considered your points regarding AVE.but my CFI, chsquare,RMSEA,RMR are fine.
I know I already commented yesterday, but I just cannot express how thankful I am. This is the greatest series on how to use AMOS on all of TH-cam. Thank you so much.
You're welcome! I'm so glad to hear that my videos have been helpful for you. It's always rewarding to know that my work is making a positive impact on others. All the best!
Best Explanation of CFA I have ever observed on youTube ...Great Effort Sir.Thanks for the Sharing
Thank you for your comment 😊
One of the best video on CFA and its complications. Hoping it will help me too Insha Allah.
Thanks for the feedback. All the best
@@saeedsharif thank you
Simply amazing and to the point. Hats off!
This tutorial is absolutely superb. A real life saver, a huge thank you Dr Sharif
Best explanation so far! thank you sir!
Thank you so much for this vodeo i thinking for many days to how to improve my model and i find the solution here. Thanks
Thank you for your comment 😊
Sir I am getting 2 of my factor loadings as 1.09 and 1.06..how to deal with it?
thank you, a lot for your presentation. can I take your ppt file to benefit it in my article? I need to support my result with formal resources
good teacher Dr. Saeed
appricate
Do you have a reference list of the authors cited on the video
Hi Prof Sharif. Thank you very much for sharing your videos. They are really helpful. In this video, for modification indices, I wonder, why only one covariance way is accepted and the others are not. Do you have reference for that? I saw also in some related videos, they can covariance error terms from one constructs with ones from others and I am confused.
Thanks for your help.
Thank you so much, Dr, for the series on using AMOS; helpful and insightful. I have a question concerning improving the model using the residuals table; in my model, I don't have any value equal to or more than 4.00; however, how can I decide on removing an item based on the absolute values?
Hi Professor, I have created 3 groups using cluster analysis on my first study variable (consists of 4 observed variables). Should i include this variable(4 items), in the CFA model??
Thank you very much for the helpful content. But I faced serious problem with model fit. I tried all the methods but my model is not even close to the assumptions of model fit. Where is the problem. Thank you Dr. Sharif.
life saver!!! thank you!!!!
You're welcome!
aslo sir in my one construct CMIN/df value was nil, RMR VALUE was .000 and GFI and CFI value was 1.000 but my RMSEA value was .569 so, how can I improve my model fit? since RMSEA value is above .08
Professor could you please help me with the SEM?
Prof, if I have a large sample size (n>500), can I accept lower loading values at around 0.3? I have found some literature that allows it but I'm still nervous. Thank you for the informative video!
Well.... I don't recommend it.. :) I understand there may be some studies that accepted lower loadings. However, it won't be easy to convince the examiners/reviewers.
Hi dr.
if one of the variable not achieve convergent validity (ave), and i decided to remove that variable then it is not be in strucual model.
Could I mention that variable is not be in strucual model because it does not achieve convergent validity in the abstract of my thesis?
Note that variable became has 2 indicators and did not achieve convergent validity
respected sir,
in CFA can CMIN/df value and RMR be zero?
also sir can GFI AND CFI can be 1.00 value?
Thank you
You're most welcome!
Hi, sir thank you for the video it is great! I just had a question. How can we justify the correlation of error terms within the same construct in our paper? I have read that it is not allowed to do simply to improve model fit? Thanks!
You provided the authors for the recommended fit indices, but I can't find them anywhere online. I need some more information to be able to reference it. The citation alone is not enough.
You can use this book as your reference:
Pahlevan Sharif, S., & Sharif Nia, H. (2018). Structural equation modeling with AMOS. Tehran: Artin Teb.
@@saeedsharif Thank you, appreciate the help
Hi Dr., I have problem with discriminant validity. The model is fit and convergent validity is met. I did SD and EFA but still has problem...
Do you have email? Thank you so much
Thank you for this video. It truly helped my instrument development and validation. But, why do the required points for CFI and TLI differ from other literature? Some say CFI and TLI would be a good fit if it’s greater than 0.95. Sir, can you clarify this matter? Anyway, thank you for your time.
Yes. There are different opinions. It depends how strict you want to be. You may refer to any of them as long as you acknowledge the limitations of each.
@@saeedsharif I understand it now, Sir. Thank you and please continue giving us worth-watching Statistics video lessons.
@@makathleenadona9957 All the best
If the NFi, GFI Values are less than 0.9 , we refuse the model ? ( while all the other values are ✅)
Not necessarily. You may refer to other indexes. Also, you may find references to support for example NFI greater than .85
Did you get the ans to this question? because i'm facing the same issue,
@@khifzarehman1929 See the answer above
@@khifzarehman1929 yes, the values less than 0.9 are not accepted. So u need to modify the model based on the modification indices and pattern matrix
Sir i m very worried my model fit is poor and discriminant validity too
In these series of videos I have provided some solutions to improve the model fit and discriminant validity. You may need to covariate some error terms, remove weak factor loadings, etc. For discriminant validity, you need to find the item with cross loading and remove it. You may perform an EFA on the problematic constructs and find the item with cross loading.
@@saeedsharif Sir, for my one variable average variance extraction is 0.395 and after deletion of one item it goes upto 0.421 and it is greater than msv. Composite reliability is 0.88 for the same variable, can i use this value with reference to Fornell Locker reference that less than 0.5 is permissible if composite reliability is above 0.6?
@@farigreactions8202 Sometimes AVE is less than 0.5 as AVE is a bit conservative. In some of my papers I have reported AVE of less than 0.5 too. If you had an AVE of less than 0.5, refer to CR for convergent validity. This is the reference to support it: Sharif, S. P., Mostafiz, I., & Guptan, V. (2018). A systematic review of structural equation modelling in nursing research. Nurse Researcher, 26(2), 28-31.
@@farigreactions8202 For reliability measures, to be safe they should be greater than 0.7. However, I think in some of my papers I had some with CR > 0.6 too.
@@saeedsharif sir i m facing issue for GFI it is very poor, 0.84 i m increasing sample size still not improving much infact validity then gets affected which is fine now for variables considered your points regarding AVE.but my CFI, chsquare,RMSEA,RMR are fine.
❤️❤️