## Search found 430 matches

Tue Dec 18, 2018 4:50 pm
Forum: runmlwin user forum
Topic: Cross-level interaction specification in multilevel logit
Replies: 2
Views: 2332

### Re: Cross-level interaction specification in multilevel logit

Hi, Yes, your first code and interpretation is correct. In your second code you should include the fixed effect of z3. Including z3 in the random part of the model allows the between-country variance to be a function of country characteristics z3. A heteroskedastic relationship. There is no random s...
Thu Nov 29, 2018 11:41 am
Forum: runmlwin user forum
Topic: predict probability and CI
Replies: 3
Views: 2685

### Re: predict probability and CI

Hi Rodrigo,

That is correct runmlwin is not comaptabile with margins.

However, you should be able to do what you want simply by using the nlcom command to calculate the expression you have written out.

Best wishes

George
Thu Nov 22, 2018 11:01 am
Forum: runmlwin user forum
Topic: p value in mcmc model
Replies: 2
Views: 2223

### Re: p value in mcmc model

Dear Rodrigo, The default presented p-value is a Bayesian one-sided p-value (the proportion of the MCMC chain which is the opposite sign to the point estimate). You report a p-value of 0.049 so a conventional two-sided p-value would be more like 0.100 You can actually request the 'properly calculate...
Mon Oct 22, 2018 3:44 pm
Forum: runmlwin user forum
Topic: negative binomial example for runmlwin
Replies: 2
Views: 3090

### Re: negative binomial example for runmlwin

Dear Ralph, We don't currently have any worked examples, however, here is how you fit the mean dispersion or NB2 version of the negative binomial model in MLwiN for the simple case of one-level data where we have one predictor . runmlwin y cons x, /// level1(id:) /// discrete(distribution(nbinomial)...
Tue Oct 09, 2018 4:02 pm
Forum: runmlwin user forum
Topic: Interpretation of the between-country variance as a function of 'x', random slope
Replies: 2
Views: 2941

### Re: Interpretation of the between-country variance as a function of 'x', random slope

Negative covariance means that the variance function will be decreasing when x = 0. It will however, increase again eventually at higher values of x and this is what you see.

Similarly, you will see fanning in at x = 0, but will see fanning out again at higher values of x.
Thu Sep 27, 2018 4:48 pm
Forum: runmlwin user forum
Topic: Random Slope Model Country Prediction Lines for the Slope
Replies: 2
Views: 2943

### Re: Random Slope Model Country Prediction Lines for the Slope

In your plot, look a the y-axis (where x = 0). You should seed that the higher intercepts generally have negative slopes. The lower intercepts generally have positive slopes. This is what we expect given a negative covariance. The stronger the correlation, the more pronounced the pattern. The lines ...
Fri May 18, 2018 1:08 pm
Forum: runmlwin user forum
Topic: runmlwin in the growth model
Replies: 1
Views: 1887

### Re: runmlwin in the growth model

Dear auctor21,

A conventional three-level linear growth model for a continuous outcome...

. runmlwin outcome cons time, ///
level3(group: cons time) ///
level2(individual: cons time) ///
level1(occasion: cons) ///
nopause

Best wishes

George
Tue May 15, 2018 12:27 pm
Forum: runmlwin user forum
Topic: A question about CCMM with runmlwin
Replies: 2
Views: 2512

### Re: A question about CCMM with runmlwin

Dear Auctor, The level-1 ID is not actually used by MLwiN, but conceptually the occasion number is the relevant variable to put at the level-1 ID. Note, you will also need to declare the model to be cross-classified, specify the multiple membership strucutre and weights, and fit the model by MCMC. S...
Wed Feb 28, 2018 12:12 pm
Forum: runmlwin user forum
Topic: interaction plots
Replies: 1
Views: 1777

### Re: interaction plots

Dear Gina, Yes you are right, -margins- is not allowed after runmlwin. You will have to generate your plot from first principles. Essentially mucking around with the regression coefficients and some fictitious co-variate data. So something like this where x1 and x2 are your continuous predictors and...
Mon Feb 26, 2018 5:10 pm
Forum: MLwiN user forum
Topic: 3 level data structure and sample size
Replies: 3
Views: 3239

### Re: 3 level data structure and sample size

Hi Shane, Probably worth pointing out that these are general multilevel modelling queries that would apply equally in any multilevel software or commands rather than being any specific to MLwiN. So do look in multilevel modelling textbooks at the sections about sample sizes at different levels. 1. Y...