Search found 156 matches

by billb
Fri Jun 02, 2017 9:23 am
Forum: MLwiN user forum
Topic: low unexplained variance on third level, but third level variable with high explanatory power
Replies: 1
Views: 3191

Re: low unexplained variance on third level, but third level variable with high explanatory power

Hi Marjolin,
Don't see any problem here - your variables appears to explain 2 thirds of the level 3 variation and the Z score is only 4.3 which although very significant you do have 6000 data points and so it is possible to have much bigger Z scores.
Best wishes,
Bill.
by billb
Wed May 10, 2017 2:29 pm
Forum: runmlwin user forum
Topic: test for a difference in Bayesian DIC
Replies: 2
Views: 4190

Re: test for a difference in Bayesian DIC

Hi Zuzanna, The DIC is an information criterion like the AIC and BIC in classical statistics and basically such quantities do not have an underlying statistical distribution and so the concept of significance doesn't work for such measures. It is therefore just the case that rules of thumb are used ...
by billb
Wed Apr 19, 2017 9:45 am
Forum: MLwiN user forum
Topic: Assumptions cross-classification models
Replies: 1
Views: 3306

Re: Assumptions cross-classification models

Hi Griet,
In theory a nested structure is a special case of the more general crossed-structure with no crossing !! So yes there is no restriction here and if you tried selecting cross-classified for a nested structure you should get the same answers.
Bill.
by billb
Wed Mar 01, 2017 1:23 pm
Forum: MLwiN user forum
Topic: Classification order in cross-classified multilevel models
Replies: 1
Views: 3536

Re: Classification order in cross-classified multilevel models

Hi Griet, It shouldn't matter but (1) you should make sure you tick the cross-classified button so that it is fitting the XC model! (2) you should ensure you run the MCMC estimation for sufficiently long that the chains converge to similar answers - they will not be exactly the same due to the Monte...
by billb
Fri Feb 10, 2017 9:58 am
Forum: MLwiN user forum
Topic: multilevel-analysis, predictor
Replies: 4
Views: 5453

Re: multilevel-analysis, predictor

Hi Ine, What you are proposing would be a false replication i.e. you will be pretending you have more data than you have (particularly if you didn't put in the level 2 random effect). In fact once you put the random effect in unsurprisingly it will show all the variance is at level 2 and might in so...
by billb
Thu Jan 26, 2017 5:26 pm
Forum: MLwiN user forum
Topic: saving within-group residual variances
Replies: 4
Views: 5121

Re: saving within-group residual variances

Hi Nina,
Not sure I understand your question with regard the per group statement. The model will have a variance at level 1 and level 2 and residuals at level 2 but there isn't a different variance for each group in this model.
Best wishes,
Bill.
by billb
Fri Jan 13, 2017 10:10 am
Forum: runmlwin user forum
Topic: comparing models
Replies: 2
Views: 3709

Re: comparing models

Hi Marie,
To compare models 2 and 3 you can fit them both using runmlwin and MCMC and then compare the 2 DIC values.
Regards,
Bill.
by billb
Fri Nov 25, 2016 4:30 pm
Forum: MLwiN user forum
Topic: Collapsing response categories on the basis of strong correlation between random effects
Replies: 2
Views: 5706

Re: Collapsing response categories on the basis of strong correlation between random effects

Hi Moletsane Monyake, It is perfectly acceptable to collapse ordered categories into smaller numbers of categories on practical grounds and as you say on ease of interpretation grounds. I wouldn't worry too much about things like residuals etc. which are often hard to interpret for ordered category ...
by billb
Thu Nov 17, 2016 7:42 pm
Forum: MLwiN user forum
Topic: multi-level models with repeated measures
Replies: 2
Views: 7490

Re: multi-level models with repeated measures

Hi Stuart, Some thoughts. As you are looking at change and you only have 2 time points then I would have thought you would be considering the baseline as a predictor variable and the second time point as the response thus removing your time point level. As for your behaviours I would suggest that he...
by billb
Tue Sep 20, 2016 12:07 pm
Forum: MLwiN user forum
Topic: effect sizes?
Replies: 3
Views: 9115

Re: effect sizes?

Hi jellie1410,
I guess your best bet is to look for examples where multilevel models have been used in the journal in question and copy the conventions used. Some journals simply have tables with coefficients, some with binary responses use odds ratios etc.