Search found 26 matches
- Wed Mar 26, 2014 5:35 pm
- Forum: MLwiN user forum
- Topic: Endogenous problem in multilevel analysis
- Replies: 2
- Views: 8565
Re: Endogenous problem in multilevel analysis
The are a lot of things going on in your question This paper discusses one type of endogeneity and what to do about it Explaining Fixed Effects: Random Effects modelling of Time-Series Cross-Sectional and Panel Data Andrew Bell, Kelvyn Jones available from https://www.researchgate.net/publication/23...
- Wed Mar 26, 2014 5:21 pm
- Forum: MLwiN user forum
- Topic: Binary outcome q-q plots for assumptions
- Replies: 3
- Views: 12299
Re: Binary outcome q-q plots for assumptions
This quite usual and to be expected due to the binary nature of the response - see for single -level models
http://www.ats.ucla.edu/stat/stata/webb ... talog3.htm
In multilevel models, the q-q plots are more useful for the Normality assumption of the higher-level residuals
http://www.ats.ucla.edu/stat/stata/webb ... talog3.htm
In multilevel models, the q-q plots are more useful for the Normality assumption of the higher-level residuals
- Wed Mar 26, 2014 5:16 pm
- Forum: MLwiN user forum
- Topic: Checking assumptions of random part
- Replies: 1
- Views: 3485
Re: Checking assumptions of random part
Unfortunately these are axiomatic assumptions that allow the model to work but they are not directly testable; to my knowledge at least!
- Wed Mar 26, 2014 5:15 pm
- Forum: MLwiN user forum
- Topic: Testing assumptions of binary outcomes?
- Replies: 2
- Views: 3842
Re: Testing assumptions of binary outcomes?
Yes you can still informally evaluate the Normality assumption by a q-q plot of the residuals at the higher levels.
- Sun Feb 02, 2014 1:34 pm
- Forum: MLwiN user forum
- Topic: individual slopes and intercepts
- Replies: 3
- Views: 4783
Re: individual slopes and intercepts
I am taking over from Chris in replying. Although MLwin can be sued in a point and click mode; it assumes you know what you are doing! It is therefore well worth spending a couple of hours working through the examples in the Manual so you get a good feel for the way the software works; before you un...
- Tue Dec 10, 2013 2:36 pm
- Forum: MLwiN user forum
- Topic: Compare between multiple nonlinear regressions
- Replies: 1
- Views: 3230
Re: Compare between multiple nonlinear regressions
One way would be to pool all the six different studies into one data set and create and indicator dummy for each of the six different studies. Then in addition to your overall model add in the set of dummies to see if this makes a difference. You can also interact the dummies with the predictor vari...
- Fri Sep 20, 2013 2:05 pm
- Forum: MLwiN user forum
- Topic: How to add predictors to intercept / slope as outcomes model
- Replies: 2
- Views: 4052
Re: How to add predictors to intercept / slope as outcomes m
Unlike some software (such as HLM), MLwiN has level 2 variables in the main equation. If they are really level 2 variables, they will show with a j subscript, and not an ij subscript, as they are constant at level 2. If they do not show as j there is probably something wrong with the sorting of the ...
- Mon Sep 16, 2013 11:15 am
- Forum: MLwiN user forum
- Topic: Survival analysis
- Replies: 2
- Views: 5003
Re: Survival analysis
I am sorry that this is not a general statistics forum but one for the MlwiN software. But here is a short answer - one can think of approaches on a continuum from non-parametric (robust) to highly parametric and demanding in terms of assumptions. In terms of survival models of survival models this ...
- Wed Sep 04, 2013 4:36 pm
- Forum: MLwiN user forum
- Topic: Multiple membership or cross classified model?
- Replies: 1
- Views: 5605
Re: Multiple membership or cross classified model?
Interesting question! There is some debate about the choice of models in the literature; I would recommend looking at Alastair H Leyland and Øyvind Næss (2009) The effect of area of residence over the life course on subsequent mortality, J R Stat Soc Ser A Stat Soc. 2009 June; 172(3): 555–578. doi: ...
- Wed Aug 28, 2013 10:24 am
- Forum: MLwiN user forum
- Topic: Higher level variables not correctly treated in multiple res
- Replies: 1
- Views: 16585
Re: Higher level variables not correctly treated in multiple
When you specify a multivariate model with several responses in MLwin , it creates a long vector with interleaved responses. In the User manual on page 213 you will see that the two responses of coursework and written have this pattern. You will also see that there is a dummy variable that picks out...