Hi PLS experts,
I have conducted a PLS Predict analysis test on the final data of my study (there are two dependent variables in my study).
The results of the analysis showed that one of dependent variables is negative in value. Thus, here I would like to ask three questions
with regard to the result:
1. Why do the negative result happen?
2. How do we solve it?
3. What is the best way for me to report it in my thesis?
Thank you in advance for your attention and for your sharing of information.
NISA
PLS PREDICT RESULT
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- PLS Junior User
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- Real name and title: Nursaadatun Nisak binti Ahmad
- cringle
- SmartPLS Developer
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- Real name and title: Prof. Dr. Christian M. Ringle
- Location: Hamburg (Germany)
- Contact:
Re: PLS PREDICT RESULT
Please upload a screenshot of your model (with results) and the PLSpredict results table.
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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- PLS Junior User
- Posts: 3
- Joined: Sun Nov 25, 2018 9:59 am
- Real name and title: Nursaadatun Nisak binti Ahmad
Re: PLS PREDICT RESULT
Dear Prof,
I have attached herewith screenshot of my model (with results) and the PLS Predict results table (as below).
LV Prediction Summary
RMSE MAE Q2
CEKP 0.507 0.365 0.008
DPL 0.513 0.372 0.040
EMMT 0.486 0.363 -0.072
Thank you in advance for your attention and for your sharing of information.
I have attached herewith screenshot of my model (with results) and the PLS Predict results table (as below).
LV Prediction Summary
RMSE MAE Q2
CEKP 0.507 0.365 0.008
DPL 0.513 0.372 0.040
EMMT 0.486 0.363 -0.072
Thank you in advance for your attention and for your sharing of information.
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- SmartPLS Developer
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- Real name and title: Dr. Jan-Michael Becker
Re: PLS PREDICT RESULT
A negative value for Q² means that you have less predictive power than simply using the average value of all observations.
That may have several reasons. Your measurement model might not be good enough or your structural model is weak. Usually, the indicator level predictive results also guide you in a direction.
That may have several reasons. Your measurement model might not be good enough or your structural model is weak. Usually, the indicator level predictive results also guide you in a direction.
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
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- PLS Junior User
- Posts: 3
- Joined: Sun Nov 25, 2018 9:59 am
- Real name and title: Nursaadatun Nisak binti Ahmad
Re: PLS PREDICT RESULT
Dear Dr,
Thank you for the feedback. Anyway how should i interprete it in my thesis.
Thank you in advance for your attention and sharing of information.
Thank you for the feedback. Anyway how should i interprete it in my thesis.
Thank you in advance for your attention and sharing of information.
-
- SmartPLS Developer
- Posts: 1284
- Joined: Tue Mar 28, 2006 11:09 am
- Real name and title: Dr. Jan-Michael Becker
Re: PLS PREDICT RESULT
As I said before: Your model does not have sufficient predictive power. Using a simple mean of the latent variable is more predictive than your model. This shows that you model is not good in predicting endogenous indicators.
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