Search found 427 matches

by GeorgeLeckie
Wed Aug 03, 2016 4:02 pm
Forum: runmlwin user forum
Topic: query on calculation of probability predictions
Replies: 3
Views: 2299

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: 2041

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: 2299

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...
by GeorgeLeckie
Tue Aug 02, 2016 11:43 am
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 8727

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine, There is a lot of information here. However, as far as I can see your scores are the level-1 units in cross-classified data structure rather than a multiple membership structure. You have a separate score for each child in each wave. So each score is associated with one child, one class a...
by GeorgeLeckie
Tue Aug 02, 2016 11:30 am
Forum: runmlwin user forum
Topic: Predicted Probability for ML Ordinal Model
Replies: 3
Views: 2041

Re: Predicted Probability for ML Ordinal Model

Hi Vivian, Yes. What you have done should work. Please can you send through more details about the MLwiN crash. Alternatively, the more "runmlwin" approach would be to calculate these predicted probabilities in Stata. See http://www.bristol.ac.uk/cmm/media/runmlwin/11_Fitting_an_Ordered_Category_Res...
by GeorgeLeckie
Fri May 20, 2016 4:02 pm
Forum: runmlwin user forum
Topic: Question VPC calculation
Replies: 1
Views: 1187

Re: Question VPC calculation

Dear Mahadev11,

Suggest you calculate VPCs based on the latent response formulation of the logistic regression model. See Module 7 of the LEMMA online course (Section 7.2) or any decent multilevel textbook for details.

Best wishes

George
by GeorgeLeckie
Tue May 03, 2016 3:50 pm
Forum: runmlwin user forum
Topic: Random effects prediction and interpretation in multilevel logit models
Replies: 2
Views: 1546

Re: Random effects prediction and interpretation in multilevel logit models

Dear rahulvbb,

The predicted state random effects measure how much higher the predicted log-odds are in each state relative to the average state.

Researchers often plot these in a caterpillar plot to aide graphical interpretation. You can do this using the -serrbar- command.

Best wishes

George
by GeorgeLeckie
Wed Apr 13, 2016 3:03 pm
Forum: runmlwin user forum
Topic: 2-level Poisson model - MQL1 works fine, PQL2 crashes
Replies: 2
Views: 1713

Re: 2-level Poisson model - MQL1 works fine, PQL2 crashes

Hi Nils, Your DGP and runmlwin syntax all look fine. The problem appears to be with some particularly high counts generated by your DGP. Essentially if you specify a lower true value for your level-2 variance everything is fine, but as you pump up the level-2 variance you get more and more extreme c...
by GeorgeLeckie
Wed Apr 13, 2016 2:40 pm
Forum: runmlwin user forum
Topic: Random Coefficient Model: Zero Variance/Covariance Terms
Replies: 1
Views: 1509

Re: Random Coefficient Model: Zero Variance/Covariance Terms

Dear Jack, Given a binary response, the model looks rather complex with many random coefficients. A binary response contains far less information than a continuous response. Also your cluster sizes are small with 8 pupils per school on average. There will be little variation in the response within c...
by GeorgeLeckie
Wed Apr 13, 2016 2:32 pm
Forum: runmlwin user forum
Topic: Variance estimates
Replies: 1
Views: 1355

Re: Variance estimates

Dear Francisca, An estimate of zero for the level-4 variance looks a bit strange. You don't appear to have done anything obviously wrong in terms of your runmlwin syntax so the answer probably lies with your data. It would be worth trying to fit the model by MQL1, MQL2, PQL1 and especially MCMC to c...