Search found 424 matches

by GeorgeLeckie
Fri Sep 02, 2016 10:46 am
Forum: runmlwin user forum
Topic: Use of constraints with runmlwin
Replies: 4
Views: 1333

Re: Use of constraints with runmlwin

Hi Ron McDowell, I'm afraid there is no way to implements constraints in MLwiN when using MCMC estimation. The exception is in multivariate response models and ordered and unordered multinomial models where for each covariate you can impose common or separately estimated coefficients for each respon...
by GeorgeLeckie
Fri Sep 02, 2016 10:41 am
Forum: MLwiN user forum
Topic: Running 2-level MLM from variance-covariance matrices
Replies: 1
Views: 2913

Re: Running 2-level MLM from variance-covariance matrices

Hi Matt,

I'm afraid, in MLwiN and all other standard multilevel modelling data you need to fit models to the the underlying data, not to the summary statistics derived from these data.

Suggest you encourage the Government department to install MLwiN on their computers.

Best wishes

George
by GeorgeLeckie
Wed Aug 24, 2016 2:35 pm
Forum: R2MLwiN user forum
Topic: Relative risk ratios in R2MLwiN
Replies: 5
Views: 1707

Re: Relative risk ratios in R2MLwiN

Hi Timm, Just to clarify. Stata refers to the exponentiated regression coefficients from a multinomial logistic regression as "relative-risk ratios". This is the what the original post requested and Chris's proposed solution gives the user these ratios. http://www.stata.com/manuals14/rmlogit.pdf You...
by GeorgeLeckie
Tue Aug 16, 2016 4:14 pm
Forum: runmlwin user forum
Topic: p-value for the MCMC approach
Replies: 1
Views: 1142

Re: p-value for the MCMC approach

Hi Vivian,

While the one-sided p-values are displayed by default, if you instead specify the zratio option you will get "conventional" p-values based on assuming the parameters have normal sampling distributions. These p-values are associated with two-sided hypothesis testing.

Best wishes

George
by GeorgeLeckie
Wed Aug 10, 2016 2:18 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 7035

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine,

If you haven't already done so, I recommend that you read the Multiple Membership module of our LEMMA online course for a good overview of what these models can and can't do.

Hope that helps

George
by GeorgeLeckie
Tue Aug 09, 2016 12:09 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 7035

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine, MlwiN like all standard software will listwise delete the data (drop rows where there are one or more missing values in the response or covariates) prior to fitting any specified model. So it depends on what you intend to do with your data. If you want to regress grade 8 score on grade 5,...
by GeorgeLeckie
Mon Aug 08, 2016 3:53 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 7035

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine, Its all about the level-1 observations. Each observation belongs to one child, one class and one school. The data are therefore cross-classified rather than multiple membership. So what you want to do is fit cross-classified models rather than multiple membership models. I hope that helps...
by GeorgeLeckie
Wed Aug 03, 2016 4:02 pm
Forum: runmlwin user forum
Topic: query on calculation of probability predictions
Replies: 3
Views: 1735

Re: query on calculation of probability predictions

Hi Bernie, Thanks for providing the full runmlwin syntax. It looks correct for specifying a cross-classified model. Each response measurement belongs to only one interviewer so do not refer to the data structure or the above model as multiple membership as this implies that each response measurement...
by GeorgeLeckie
Tue Aug 02, 2016 4:28 pm
Forum: runmlwin user forum
Topic: Predicted Probability for ML Ordinal Model
Replies: 3
Views: 1511

Re: Predicted Probability for ML Ordinal Model

Hi Vivian,

As far as I can see what you have done looks correct. I am guessing that the other 12 rows correspond to scenarios where two or more dummies are switched on simultaneously which of course do not make sense in your example. So yes ignore these 12 other rows.

Best wishes

George
by GeorgeLeckie
Tue Aug 02, 2016 12:21 pm
Forum: runmlwin user forum
Topic: query on calculation of probability predictions
Replies: 3
Views: 1735

Re: query on calculation of probability predictions

Hi Bernie, The data sound cross-classified rather than multiple membership. Each response score belongs to one respondent and one interviewer rather than multiple individuals or multiple interviewers. In terms of your runmlwin syntax, I wasn't clear to what the xwaveid identifer referred to. You als...