Hi all,
I am new to this software. Can anyone tell me what these measurements are d_G and d_ULS are, I see them in my Fit Summary? Screenshot attached. Thanks!
Kind regards,
N
Fit Summary - What is d_G and d_ULS
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Fit Summary - What is d_G and d_ULS
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- cringle
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Re: Fit Summary - What is d_G and d_ULS
Thanks. Please take a look at the SmartPLS resources under www.smartpls.com:
https://www.smartpls.com/documentation/fit
Best regards
Christian
https://www.smartpls.com/documentation/fit
Best regards
Christian
Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
Re: Fit Summary - What is d_G and d_ULS
hi
i am a student from Iran in marketing management.
d_G and d_ULS, these items examine to assay the fitness of model
The bootstrap routine provide the confidence intervals of these discrepancy values. A model fits well if the difference between the correlation matrix implied by your model and the empirical correlation matrix is so small that it can be purely attributed to sampling error. Hence, the difference between the correlation matrix implied by your model and the empirical correlation matrix should be non-significant (p > 0.05). Otherwise, if the discrepancy is significant (p < 0.05), model fit has not been established.(ref>> www.smartpls.de/documentation/fit)
i am a student from Iran in marketing management.
d_G and d_ULS, these items examine to assay the fitness of model
The bootstrap routine provide the confidence intervals of these discrepancy values. A model fits well if the difference between the correlation matrix implied by your model and the empirical correlation matrix is so small that it can be purely attributed to sampling error. Hence, the difference between the correlation matrix implied by your model and the empirical correlation matrix should be non-significant (p > 0.05). Otherwise, if the discrepancy is significant (p < 0.05), model fit has not been established.(ref>> www.smartpls.de/documentation/fit)
- cringle
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Re: Fit Summary - What is d_G and d_ULS
@raschel: Thanks! That's perfectly fine. d_G and d_ULS values themselves are not useful. You need to take a look at their bootstrapping results (use the option "complete" in bootstrapping). If the original value of d_G and d_ULS is smaller than the upper bound of the bootstrap confidence interval, you establish fit.
Best
CR
Best
CR
Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
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Re: Fit Summary - What is d_G and d_ULS
Dear Professor Ringle,cringle wrote:@raschel: Thanks! That's perfectly fine. d_G and d_ULS values themselves are not useful. You need to take a look at their bootstrapping results (use the option "complete" in bootstrapping). If the original value of d_G and d_ULS is smaller than the upper bound of the bootstrap confidence interval, you establish fit.
Best
CR
1. What do you mean by the "original value"? Is it the saturated model or estimated (because the both have very different values in my research. Saturated model value shows fit, but the estimated model doesn't)!?
2. what if the model doesn't fit for an exploratory one? What can we do for modifying the model?
3. Which stage should we choose for assessing the fit indices in the two stage approach?
Thanks
- cringle
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Re: Fit Summary - What is d_G and d_ULS
Hi
@1: The result of the model estimation; see further explanations here: https://www.smartpls.com/documentation/ ... /model-fit
@2: Don't know - I usually do not use fit (see the note of caution at the end of the previously quoted link). The CB-SEM researchers usually delete indicators until they have a super reliable model and also add structural model relationships to improve fit.
@3: Well, if you use the results of the second stage as final results, I would look into fit here.
Best
CR
@1: The result of the model estimation; see further explanations here: https://www.smartpls.com/documentation/ ... /model-fit
@2: Don't know - I usually do not use fit (see the note of caution at the end of the previously quoted link). The CB-SEM researchers usually delete indicators until they have a super reliable model and also add structural model relationships to improve fit.
@3: Well, if you use the results of the second stage as final results, I would look into fit here.
Best
CR
Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
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Re: Fit Summary - What is d_G and d_ULS
Thank you very much.cringle wrote:Hi
@1: The result of the model estimation; see further explanations here: https://www.smartpls.com/documentation/ ... /model-fit
@2: Don't know - I usually do not use fit (see the note of caution at the end of the previously quoted link). The CB-SEM researchers usually delete indicators until they have a super reliable model and also add structural model relationships to improve fit.
@3: Well, if you use the results of the second stage as final results, I would look into fit here.
Best
CR
Just to confirm: By "the result of the model estimation", do you mean the estimated model SRMR outcome? Then, what is the saturated model SRMR outcome useful for?