Hi.
I have 8 latent variables and 8 control variables.
In terms of the control variables, I have 4 categorical variables including gender, chatting experience, etc.
So I transformed these to dummy variables.
In result, 4 dummies ware made.
When I used standard bootstrapping(5000 times), I can get t statistics and p values.
But, when I used MGA to examine how the path coefficients are different between two groups(having chatting experience vs not having chatting experience), singular matrix error occurred.
How it can be possible?
In my humble opinion, because the standard bootstrapping was ok, both my dummies and data are ok as well.
greetings
KIHO KWON
MGA -Singular Matrix error
-
- SmartPLS Developer
- Posts: 1287
- Joined: Tue Mar 28, 2006 11:09 am
- Real name and title: Dr. Jan-Michael Becker
Re: MGA -Singular Matrix error
The variable that you use for defining the groups cannot be part of the model. It will have in each group only the same values and thus zero variance. It is not possible to calculate the models on such data.
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