Different software, different results
Posted: Tue Sep 12, 2017 1:00 pm
Hello,
using the same database but different software, I get different results and was wondering where it can come from
My model is very simple : 2 levels, dependantvariable_ij = \beta0 + \beta1 x Metric + u_0j + e_ij
Here are the results I get :
As you can see, R and Matlab provide similar results contrary to MLwiN.
I have checked that the depending variable is well defined in all cases and that I use the same computation method (RIGLS in MLwin is the same as reml in Matlab according to the help documentation).
Do you think at any other source of getting such different results, even in their interpretation ?
Thank you for any advice you can provide
using the same database but different software, I get different results and was wondering where it can come from
My model is very simple : 2 levels, dependantvariable_ij = \beta0 + \beta1 x Metric + u_0j + e_ij
Here are the results I get :
- Capture.PNG (32.73 KiB) Viewed 4196 times
I have checked that the depending variable is well defined in all cases and that I use the same computation method (RIGLS in MLwin is the same as reml in Matlab according to the help documentation).
Do you think at any other source of getting such different results, even in their interpretation ?
Thank you for any advice you can provide