The first thing to check would be that your command is conceptually on one line. You can split it across several lines to aid readability, however you would need to put /// at the end of each line to indicate a line continuation.
You can only specify each level once in runmlwin, so you can't have ...
Search found 1359 matches
- Thu Jun 26, 2025 1:58 pm
- Forum: runmlwin user forum
- Topic: Syntax Errors Running Cross-Classified 3-Level Model via runmlwin in Stata
- Replies: 1
- Views: 207
- Tue Apr 08, 2025 10:54 am
- Forum: runmlwin user forum
- Topic: Time as a predictor
- Replies: 4
- Views: 7603
Re: Time as a predictor
These two approaches should also work with runmlwin, so it is probably worth trying both ways and then comparing with the results that you had previously from gsem.
- Tue Apr 08, 2025 8:55 am
- Forum: runmlwin user forum
- Topic: Error while running multinomial multilevel regression
- Replies: 4
- Views: 8474
Re: Error while running multinomial multilevel regression
Assuming that the data sample you provided is representative of the rest of the data I think that your problem may be that your data is not sorted by the model hierarchy. Rather than using unique values of ID codes to determine the units MLwiN instead calculates this on when the ID code changes as ...
- Mon Apr 07, 2025 3:57 pm
- Forum: runmlwin user forum
- Topic: Categorical variable as a predictor
- Replies: 4
- Views: 7115
Re: Categorical variable as a predictor
runmlwin should (more or less) work like any other Stata command, so you should be able to use the standard Stata facilities to create the required dummies. I think that the example we provide only does it manually to make the process more explicit (and give the generated dummies names of our ...
- Mon Apr 07, 2025 9:09 am
- Forum: runmlwin user forum
- Topic: Time as a predictor
- Replies: 4
- Views: 7603
Re: Time as a predictor
Could you provide any further information about what your time variable represents? E.g., Is it the occasion on which a measurement was taken, as in the example in chapter 13 of the MLwiN manual ( https://www.bristol.ac.uk/cmm/media/software/mlwin/downloads/manuals/3-13/manual-web.pdf ), or is it a ...
- Mon Apr 07, 2025 8:57 am
- Forum: runmlwin user forum
- Topic: Categorical variable as a predictor
- Replies: 4
- Views: 7115
Re: Categorical variable as a predictor
lc1 lc2 and lc3plus are dummy variables that were created from the categorical variable lc . You can see the code that was used to create them at the beginning of the replication example for chapter 10 of the MLwiN user's guide ( https://www.bristol.ac.uk/cmm/media/runmlwin/10_Multinomial_Logistic ...
- Mon Apr 07, 2025 8:48 am
- Forum: runmlwin user forum
- Topic: Error while running multinomial multilevel regression
- Replies: 4
- Views: 8474
Re: Error while running multinomial multilevel regression
Are you able to provide any information about your data and its structure? For example, does it contain missing values, does it have particularly large/small clusters, does it contain some extreme values, etc? Can you try fitting simpler versions of the model (e.g. with only the intercept) to see if ...
- Wed Apr 02, 2025 2:08 pm
- Forum: MLwiN user forum
- Topic: My statistics knowledge is fairly basic
- Replies: 1
- Views: 8412
Re: My statistics knowledge is fairly basic
Discrete response models fitted via (R)IGLS in MLwiN are often compared using a Wald test. For details of how to do this test see the MLwiN manual, for example on pages 125, 131 and 138.
- Wed Apr 02, 2025 12:55 pm
- Forum: R2MLwiN user forum
- Topic: Struggling to use MLwIN on macOS
- Replies: 1
- Views: 11222
Re: Struggling to use MLwIN on macOS
I believe that you should be able to manually allow the application to run by following the steps in this article: https://support.apple.com/en-gb/guide/m ... b3a043/mac. For a more detailed description of the cause of this warning see https://support.apple.com/en-gb/102445.
- Mon Feb 03, 2025 10:12 am
- Forum: R2MLwiN user forum
- Topic: Binary outcome Multiple membership model
- Replies: 15
- Views: 194770
Re: Binary outcome Multiple membership model
This sounds like an error is occurring within MLwiN, so the best way to find the cause would be to add the option debugmode=TRUE to the list in estoptions .
Looking at the syntax that you provided I think that the problem may be that you need to extend the Model1_MultiMembers list with another NA ...
Looking at the syntax that you provided I think that the problem may be that you need to extend the Model1_MultiMembers list with another NA ...