Model fit error

 PLS Junior User
 Posts: 5
 Joined: Tue Jul 07, 2020 2:37 am
 Real name and title: Denny Larson
Model fit error
This is my result of using PLS Algorithm of model fit
SRMR 0.113 0.114
d_ULS 2.684 2.721
d_G n/a n/a
ChiSquare infinite infinite
NFI n/a n/a
Why do i get this kind of result
somebody pls help me this is very important and close to deadline report sumbission
SRMR 0.113 0.114
d_ULS 2.684 2.721
d_G n/a n/a
ChiSquare infinite infinite
NFI n/a n/a
Why do i get this kind of result
somebody pls help me this is very important and close to deadline report sumbission
 Attachments

 model fit.jpg (212.44 KiB) Viewed 7497 times

 SmartPLS Developer
 Posts: 1129
 Joined: Tue Mar 28, 2006 11:09 am
 Real name and title: Dr. JanMichael Becker
Re: Model fit error
As I have already answered to other posts in this forum, it is not possible to calculate all fit measures for all models. For some models it is simply not possible to calculate NFI and ChiSquare as well as d_G. In most cases, these are models with repeated indicators, for example, when you model higherorder constructs. If you really need the fit measures, built a twostage model. However, it might also be a good question whether you really need the fit measures? See also https://www.smartpls.com/documentation/ ... /modelfit
Dr. JanMichael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

 PLS Junior User
 Posts: 5
 Joined: Tue Jul 07, 2020 2:37 am
 Real name and title: Denny Larson
Re: Model fit error
I don't understand where do i repeat my indicator, i think all my indicators are different. how do i build a twostage modeljmbecker wrote: ↑Tue Jul 07, 2020 1:46 pm As I have already answered to other posts in this forum, it is not possible to calculate all fit measures for all models. For some models it is simply not possible to calculate NFI and ChiSquare as well as d_G. In most cases, these are models with repeated indicators, for example, when you model higherorder constructs. If you really need the fit measures, built a twostage model. However, it might also be a good question whether you really need the fit measures? See also https://www.smartpls.com/documentation/ ... /modelfit

 SmartPLS Developer
 Posts: 1129
 Joined: Tue Mar 28, 2006 11:09 am
 Real name and title: Dr. JanMichael Becker
Re: Model fit error
Without knowing your model and data, it is hard to tell the problem
Dr. JanMichael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

 PLS Junior User
 Posts: 5
 Joined: Tue Jul 07, 2020 2:37 am
 Real name and title: Denny Larson

 SmartPLS Developer
 Posts: 1129
 Joined: Tue Mar 28, 2006 11:09 am
 Real name and title: Dr. JanMichael Becker
Re: Model fit error
The constructs of perceived parental support and self efficacy are so highly correlated (as evidenced by a very large standardized path coefficient), it is very likely that the models suffers from a multicollinearity problem. Maybe even some of the indicators of these constructs are very highly correlated. You might have a look at the correlation matrix as well.
I can also not imagine that these constructs actually show discriminant validity.
I can also not imagine that these constructs actually show discriminant validity.
Dr. JanMichael Becker, University of Cologne, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de

 PLS Junior User
 Posts: 5
 Joined: Tue Jul 07, 2020 2:37 am
 Real name and title: Denny Larson
Re: Model fit error
What usually cause this correlated problem ?jmbecker wrote: ↑Tue Jul 07, 2020 3:06 pm The constructs of perceived parental support and self efficacy are so highly correlated (as evidenced by a very large standardized path coefficient), it is very likely that the models suffers from a multicollinearity problem. Maybe even some of the indicators of these constructs are very highly correlated. You might have a look at the correlation matrix as well.
I can also not imagine that these constructs actually show discriminant validity.
How can one fix it
Re: Model fit error
The builds of apparent parental help and selfadequacy are so profoundly connected (as confirmed by an extremely huge normalized way coefficient), all things considered, the models experience the ill effects of a multicollinearity issue. Perhaps a portion of the pointers of these builds are exceptionally corresponded. You may examine the connection lattice too.

 PLS Junior User
 Posts: 2
 Joined: Mon Jan 04, 2021 2:49 pm
 Real name and title: Lee lin
Re: Model fit error
I have three Query about the exact model fit:
1
d_ULS and d_G must smaller than the confidence interval, then the confidence interval that d_ULS and d_G have to compare with is the 95% 99% value obtained from bootstrapping calculated?
Or do we have to calculate based on the path coefficient?
2. The other criterion is that the outcome must be nonsignificant.
If Chisquare is not in the index to determine whether the outcome is significant or not? Does the condition also come from the confidence interval of the Path coefficient? if zero is included in the interval, then is it significant? Or what is the standard to judge?
3. If the value of the saturated and estimated model is the same ,
Some scholars say that it means that the saturated model is fully
fit with the estimated model.
But if the outcome can’t fulfill the significant and d_G ,d_ULS criteria
, can we still conclude that there is a good fit?
1
d_ULS and d_G must smaller than the confidence interval, then the confidence interval that d_ULS and d_G have to compare with is the 95% 99% value obtained from bootstrapping calculated?
Or do we have to calculate based on the path coefficient?
2. The other criterion is that the outcome must be nonsignificant.
If Chisquare is not in the index to determine whether the outcome is significant or not? Does the condition also come from the confidence interval of the Path coefficient? if zero is included in the interval, then is it significant? Or what is the standard to judge?
3. If the value of the saturated and estimated model is the same ,
Some scholars say that it means that the saturated model is fully
fit with the estimated model.
But if the outcome can’t fulfill the significant and d_G ,d_ULS criteria
, can we still conclude that there is a good fit?

 PLS Junior User
 Posts: 2
 Joined: Mon Jan 04, 2021 2:49 pm
 Real name and title: Lee lin
Re: Model fit error
This is my Data
Table 12 Outcome of the model fit test.
discrepancy SRMR D_ULS D_G NFI Chisquare
Saturated model 0.062 0.967 0.458 0.836 1010.938
Estimated model 0.062 0.967 0.458 0.836 1010.938
95% 0.050 0.935 0.442
0.053 1.074 0.446
99% 0.052 1.023 0.476
0.056 1.195 0.477
GOF √0.5417 * 0.4035= 0.4674 > 0.36 Large GOF
Table 12 Outcome of the model fit test.
discrepancy SRMR D_ULS D_G NFI Chisquare
Saturated model 0.062 0.967 0.458 0.836 1010.938
Estimated model 0.062 0.967 0.458 0.836 1010.938
95% 0.050 0.935 0.442
0.053 1.074 0.446
99% 0.052 1.023 0.476
0.056 1.195 0.477
GOF √0.5417 * 0.4035= 0.4674 > 0.36 Large GOF