Hi Chris, George, and all,
I hope everyone is doing well.
I have a question about setting up and running a growth curve model that has the additional wrinkle of allowing for an AR(1) structure to the residuals. I have looked at the MCMC manual, chapter 19, and seen the example with the rats ...
Search found 16 matches
- Mon Mar 30, 2020 7:24 pm
- Forum: runmlwin user forum
- Topic: Setting up an AR(1) model
- Replies: 3
- Views: 11967
- Fri Sep 27, 2019 4:12 pm
- Forum: runmlwin user forum
- Topic: Number of groups varies between 2- and 3-level multivariate MLM
- Replies: 4
- Views: 17285
Re: Number of groups varies between 2- and 3-level multivariate MLM
Thanks, Chris. Knowing the CC exists and it is so easily handled in MLwiN, I agree it makes sense to model it correctly. I did so and variance and covariance estimates at each of the levels are quite similar, and as a result, the number of groups being reported is exactly aligned with expectations.
- Thu Sep 26, 2019 9:01 pm
- Forum: runmlwin user forum
- Topic: Number of groups varies between 2- and 3-level multivariate MLM
- Replies: 4
- Views: 17285
Re: Number of groups varies between 2- and 3-level multivariate MLM
Thanks, Chris. You identified the problem exactly. I have two teachers who each taught in two different schools. Technically that means teachers and schools are cross-classified. However, with only two of 65 teachers in this situation, I'm curious whether you think it makes sense to model the cross ...
- Wed Sep 25, 2019 9:16 pm
- Forum: runmlwin user forum
- Topic: Number of groups varies between 2- and 3-level multivariate MLM
- Replies: 4
- Views: 17285
Number of groups varies between 2- and 3-level multivariate MLM
Hi all,
I am running a multivariate MLM that has repeated observations (level 1) of teachers (level 2) within schools (level 3). The data has 550 non-missing observations on the two outcomes for 65 teachers in 23 schools.
Variable | Obs Mean Std. Dev. Min Max ...
I am running a multivariate MLM that has repeated observations (level 1) of teachers (level 2) within schools (level 3). The data has 550 non-missing observations on the two outcomes for 65 teachers in 23 schools.
Variable | Obs Mean Std. Dev. Min Max ...
- Thu May 30, 2019 2:47 pm
- Forum: runmlwin user forum
- Topic: MLwiN Manual Chapter 18 Cross-classified code
- Replies: 2
- Views: 13609
Re: MLwiN Manual Chapter 18 Cross-classified code
Ah, I see. Yes, I did not clear the constraints when I re-ran the model after re-loading the data.
Thanks, Chris!
Thanks, Chris!
- Wed May 29, 2019 10:50 pm
- Forum: runmlwin user forum
- Topic: MLwiN Manual Chapter 18 Cross-classified code
- Replies: 2
- Views: 13609
MLwiN Manual Chapter 18 Cross-classified code
Hello,
I am trying out the code provided for runmlwin to replicate the analyses in the MLwiN Users Manual (thank you for doing that, Chris and George!) and I have a question about some of the code for cross-classified models in Chapter 18.
To run the model in 18.4, the runmlwin .do file has the ...
I am trying out the code provided for runmlwin to replicate the analyses in the MLwiN Users Manual (thank you for doing that, Chris and George!) and I have a question about some of the code for cross-classified models in Chapter 18.
To run the model in 18.4, the runmlwin .do file has the ...