Search found 432 matches
- Mon Apr 01, 2019 1:41 pm
- Forum: MLwiN user forum
- Topic: Level-2 variance be zero
- Replies: 1
- Views: 4096
Re: Level-2 variance be zero
Dear Helanidilk, This all sounds fine. Yes, when you set the true cluster variance to be small, in some simulated datasets the estimated cluster variance will be zero. Yes, this is part of the sampling variability of the cluster variance. Note, you should not drop the simulations which give estimate...
- Tue Dec 18, 2018 4:57 pm
- Forum: runmlwin user forum
- Topic: Illustrate lower-level interaction by use of a graph similar to margins command
- Replies: 2
- Views: 5220
Re: Illustrate lower-level interaction by use of a graph similar to margins command
Dear KazimovHH, There is a lot going on here, but at least from a quick scan it looks like you are doing something sensible. You fit your three level model You then set all variables to zero except for the the two variables of interest (one of which is binary, the other continuous) You then predict ...
- Tue Dec 18, 2018 4:50 pm
- Forum: runmlwin user forum
- Topic: Cross-level interaction specification in multilevel logit
- Replies: 2
- Views: 5126
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: 5837
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
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: 5014
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: 5553
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: 5575
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.
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: 5573
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: 4089
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
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: 5196
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...