Hi everyone
I have used MLwIN as part of a study to do linear and logistic multiple MLM and we calculated the CI for the variables manually using 1.96 calculation. However, I have since been advised by the statistician (who I worked with)- that he has identified that these are wrong as it does not consider the different levels (we hand calculated the p values as well and I did notice that some of the CI overlapped when the p-values were significant). I really want to amend this now I know, but we cannot establish how we calculate them.
STATA provides CI but calculates the models in a slightly different way.
are you able to give us any advice to do this from the MLWiN output (manually Is fine)?
I am not a statistician by any means but I can share your response with the statistician I have worked with if I do not understand!
Many Thanks
Helen
Calculating CI variables in multi level multiple regression models
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Re: Calculating CI variables in multi level multiple regression models
Hi Helen,
In the latest version of MLwiN, the Model Comparison window now gives you p-values and 95% confidence intervals for each regression coefficient if you tick the relevant check boxes.
Best wishes
George
In the latest version of MLwiN, the Model Comparison window now gives you p-values and 95% confidence intervals for each regression coefficient if you tick the relevant check boxes.
Best wishes
George
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- Posts: 2
- Joined: Wed Aug 24, 2016 3:42 pm
Re: Calculating CI variables in multi level multiple regression models
Hi George
Thank you, that is excellent news! So all I have to do now is download the new software and enter my final models again.
Brilliant
Helen
Thank you, that is excellent news! So all I have to do now is download the new software and enter my final models again.
Brilliant
Helen