I am attempting to assess the variance explained by each level of an outcome. When I run the binomial model below, it does not provide the estimate at level 1, only levels 2 and 3. What additional steps must I take to get level 1 variance (estimate)?
EX: runmlwin OUTCOME cons, level3(LEVEL: cons ...
Search found 3 matches
- Thu Mar 16, 2023 8:11 pm
- Forum: runmlwin user forum
- Topic: Multilevel binomial response
- Replies: 1
- Views: 51426
- Wed Dec 04, 2019 10:00 pm
- Forum: runmlwin user forum
- Topic: Four-level CCM, variance components
- Replies: 3
- Views: 8243
Re: Four-level CCM, variance components
You can find examples that replicate the MLwiN manuals using runmlwin at https://www.bristol.ac.uk/cmm/software/runmlwin/examples/ . I would suggest looking at the example for Chapter 15 of the MCMC guide, as this covers setting up cross-classified models.
Unfortunately, however, the examples ...
- Wed Oct 30, 2019 6:35 pm
- Forum: runmlwin user forum
- Topic: Four-level CCM, variance components
- Replies: 3
- Views: 8243
Four-level CCM, variance components
Hello.
I am attempting to put together a four-level CCM using the runmlwin command. As shown below, the "firm" at level 3 is nested within home countries at level 4, while the host country and industry are cross-nested.
Outcome
LEVEL 1: Year
LEVEL 2: Unit
LEVEL 3: Host country, Industry ...
I am attempting to put together a four-level CCM using the runmlwin command. As shown below, the "firm" at level 3 is nested within home countries at level 4, while the host country and industry are cross-nested.
Outcome
LEVEL 1: Year
LEVEL 2: Unit
LEVEL 3: Host country, Industry ...