In gsem of STATA we can test random-intercept and random-slope models (multilevel) (see example38g in the manual). STATA MULTILEVEL MIXED-EFFECTS "me" deals with multilevel mixed-models, in particular MIXED for continuous outcomes.
I asked myself: Do I get the same results if I use gsem or MIXED? For the moment my answer is yes and no.....
In MIXED we have several options: we can use ML or REML estimation method; we can define different residual variance structures,....
I ran a gsem 2-level random-intercept model (id defines level 2 and session_coded defines level 1 nested within level 2) using own data
gsem (rd
Patrick Gomez, As you already have found out, the -gsem- command can produce the exact same results as those generated by the defaults of the -mixed- command. As far as I know, the -gsem- command has only ml available for the estimation of parameters. I think the same applies to specifying the structure of the residuals as well in that it by default assumes the restype of "independent". To be completely sure, you can send your -mixed- code to StataTech and see if they can replicate it using the -gsem- command, and let us know the outcome as well if you like. Thanks.
In addition to what Mehmet Mehmetoglu has suggested, you might consider posting your question to Statalist.
- https://www.statalist.org/forums/forum/general-stata-discussion/general
The technical support of STATA wrote me:
Currently, we don't have a command to estimate generalized structural equation models via REML. Also, residuals in -gsem- are assumed to be i.i.d., there is not an option to change this.
- Badges
- Science topic
- Similar topics
- Linguistics
- Composition Studies
- Writing