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Calculating CI variables in multi level multiple regression models

Posted: Wed Aug 24, 2016 3:52 pm
by HHawleyHague
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

Re: Calculating CI variables in multi level multiple regression models

Posted: Fri Sep 02, 2016 10:49 am
by GeorgeLeckie
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

Re: Calculating CI variables in multi level multiple regression models

Posted: Mon Sep 12, 2016 2:02 pm
by HHawleyHague
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