Search found 9 matches
- Mon Aug 13, 2012 10:02 am
- Forum: runmlwin user forum
- Topic: Significance of random effects in cross-classified model
- Replies: 2
- Views: 3964
Re: Significance of random effects in cross-classified model
Many thanks George!
- Sun Aug 12, 2012 1:36 am
- Forum: runmlwin user forum
- Topic: Significance of random effects in cross-classified model
- Replies: 2
- Views: 3964
Significance of random effects in cross-classified model
Hi, I'm running cross-classified models with neighbourhoods, schools and children. This might be a basic question - but how can I best determine whether the between-group variances are statistically significant? Can I treat the standard deviation of the random effect estimates like a standard error?...
- Tue May 22, 2012 1:09 pm
- Forum: runmlwin user forum
- Topic: Getting p-values and z-ratios after MCMC
- Replies: 4
- Views: 7260
Re: Getting p-values and z-ratios after MCMC
Dear George,
you are right of course - all is working now.
Many thanks and best wishes
Anja
you are right of course - all is working now.
Many thanks and best wishes
Anja
- Tue May 22, 2012 12:43 pm
- Forum: runmlwin user forum
- Topic: Getting p-values and z-ratios after MCMC
- Replies: 4
- Views: 7260
Re: Getting p-values and z-ratios after MCMC
Dear George, many thanks for the quick reply and the explanation re standard error/standard deviation. I do have version 2.25 installed but the "runmlwin, zratio" command still doesn't return p values for me. I pasted my output and code below: . runmlwin maths7sas cons , level3 (dlsoa:cons...
- Tue May 22, 2012 10:49 am
- Forum: runmlwin user forum
- Topic: Getting p-values and z-ratios after MCMC
- Replies: 4
- Views: 7260
Getting p-values and z-ratios after MCMC
Hi, I am running cross-classified models using the MCMC option. The output shows the z values and ESS. The runmlwin help file says it is possible to get p-values with the option zratio, but when I try I get this error message: 'option zratio not allowed' This is how I specified the option: runmlwin ...
- Tue Mar 27, 2012 8:30 am
- Forum: runmlwin user forum
- Topic: cross-classified model with sparse data
- Replies: 7
- Views: 9368
Re: cross-classified model with sparse data
Dear George,
I did what you suggested (increase burnin and chain) and yes now the estimates are very similar.
Many thanks for your help,
Anja
I did what you suggested (increase burnin and chain) and yes now the estimates are very similar.
Many thanks for your help,
Anja
- Thu Mar 22, 2012 11:14 pm
- Forum: runmlwin user forum
- Topic: cross-classified model with sparse data
- Replies: 7
- Views: 9368
Re: cross-classified model with sparse data
Dear George, You were right - I did the update and now everything seems to be working fine. Apologies for not thinking of this myself! I can now run models for the whole of the UK with sensible results. The estimates for Wales are similar to what I get from xtmixed. For the single-country analysis t...
- Thu Mar 22, 2012 12:56 pm
- Forum: runmlwin user forum
- Topic: cross-classified model with sparse data
- Replies: 7
- Views: 9368
Re: cross-classified model with sparse data
Dear George, many thanks for the quick reply! This is the runmlwin output: . runmlwin s4read cons , level3 (msoa4all:cons) level2(s4schoolid: cons) level1(mcsid: cons) mcmc (cc) initsb ( > b) MLwiN 2.24 multilevel model Number of obs = 1714 Normal response model Estimation algorithm: MCMC No. of Obs...
- Thu Mar 22, 2012 8:59 am
- Forum: runmlwin user forum
- Topic: cross-classified model with sparse data
- Replies: 7
- Views: 9368
cross-classified model with sparse data
Dear all, I am new to MLwiN and have been trying to run a cross-classified model with 3 levels: children, schools and neighbourhoods. I have data from all UK countries, but the data is sparse and in Stata, the model would only run for one of them (Wales) where the number of observations per group is...