R square values
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- PLS Junior User
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R square values
I have a question: where can I find the R2 for the whole structural model? Do I have to calculate it by hand?
I now have 3 R squares for my 3 endogenous variables..however, they will not tell me how good the overall fit of the model is, right?
And I can't use the GoF values, since most of my constructs are formative.
What should I do??
Thanks!
I now have 3 R squares for my 3 endogenous variables..however, they will not tell me how good the overall fit of the model is, right?
And I can't use the GoF values, since most of my constructs are formative.
What should I do??
Thanks!
Re: R square values
Hi,
Go to Calculate=> Run PLS Algorithm then you can see your model (endogenous variables only). Also after running PLS Algorithm go to the Report=> Default Report => Overview here you can see R^2. You don’t need to calculate by hand.
Assessment of structure model (Hair et al., 2013. A primer on PLS-SEM - Book)
1. Check collinearity among the constructs
2. Bootstrapping to assess the significance of the path coefficient
3. R^2
4. Effect size (f^2)
5. Predictive relevance (q^2)
6. Do not use Gof ((Hair et al., 2013-book)
Go to Calculate=> Run PLS Algorithm then you can see your model (endogenous variables only). Also after running PLS Algorithm go to the Report=> Default Report => Overview here you can see R^2. You don’t need to calculate by hand.
Assessment of structure model (Hair et al., 2013. A primer on PLS-SEM - Book)
1. Check collinearity among the constructs
2. Bootstrapping to assess the significance of the path coefficient
3. R^2
4. Effect size (f^2)
5. Predictive relevance (q^2)
6. Do not use Gof ((Hair et al., 2013-book)
MURAD ALI, Ph.D
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- PLS Junior User
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The final endogenous variable will be your final R^2.
Use the following assessment of structure model (Hair et al., 2013. A primer on PLS-SEM - Book)
1. Check collinearity among the constructs
2. Bootstrapping to assess the significance of the path coefficient
3. R^2
4. Effect size (f^2)
5. Predictive relevance (q^2)
6. Do not use Gof ((Hair et al., 2013-book)
Use the following assessment of structure model (Hair et al., 2013. A primer on PLS-SEM - Book)
1. Check collinearity among the constructs
2. Bootstrapping to assess the significance of the path coefficient
3. R^2
4. Effect size (f^2)
5. Predictive relevance (q^2)
6. Do not use Gof ((Hair et al., 2013-book)
MURAD ALI, Ph.D
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- PLS Junior User
- Posts: 10
- Joined: Thu Jun 27, 2013 3:00 pm
- Real name and title:
Re: R square values
How exactly is this done? Do I use the LV scores? Standardized or standardized?1. Check collinearity among the constructs
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- SmartPLS Developer
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- Real name and title: Dr. Jan-Michael Becker
Re: R square values
SmartPLS 3 provides information on the VIF for the inner and outer model.
Dr. Jan-Michael Becker, BI Norwegian Business School, 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
- Hengkov
- PLS Super-Expert
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Re: R square values
Hi,
Used VIF for check collinearity among construct. I suggest must < 3.3 for the stable estimation.
Best regards,
Used VIF for check collinearity among construct. I suggest must < 3.3 for the stable estimation.
Best regards,
Re: R square values
Hey Hengkov!
I am using SmartPLS 2. Should I use LV scores (Report > PLS > Calculation results) to test collinearity ALTHOUGH the LV scores are negative in my case (due to negative outer weights)?
I am using SmartPLS 2. Should I use LV scores (Report > PLS > Calculation results) to test collinearity ALTHOUGH the LV scores are negative in my case (due to negative outer weights)?
- cringle
- SmartPLS Developer
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Re: R square values
Hi LV
The LV scores are standardized and thus there are postive and negative values. Yes, use these scores to test collinearity in the structural model. We also explain things in the PLS-SEM book: http://www.sagepub.com/books/Book237345
Best,
The LV scores are standardized and thus there are postive and negative values. Yes, use these scores to test collinearity in the structural model. We also explain things in the PLS-SEM book: http://www.sagepub.com/books/Book237345
Best,
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