Hello RG-Community,
I have a question concerning a multilevel model:
level 1: situations (12 in average; there are two types of situations, each of them 6 in average).
level 2: persons (40 persons).
I wanted to conduct a multilevel regression with variables on the within-level level.
How can I give credit to the two situational types without directly including them into the regression?
Thank you very much in advance!
Best regards
Robin
This might help
Multivariate response models
http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#multipleresphttp://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#multipleresp
Multivariate mixed response models
http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#discrete
" How can I give credit to the two situational types without directly including them into the regression " - why would you want to do that? Sorry but I do not understand your intention.
Check these papers:
1. Dickinson, L. M., & Basu, A. (2005). Multilevel modeling and practice-based research. Annals of family medicine, 3 Suppl 1(Suppl 1), S52–S60. https://doi.org/10.1370/afm.340
2. Sera, F., & Ferrari, P. (2015). A multilevel model to estimate the within- and the between-center components of the exposure/disease association in the EPIC study. PloS one, 10(3), e0117815. https://doi.org/10.1371/journal.pone.0117815
3. https://methods.sagepub.com/dataset/howtoguide/multi-level-modal-leo-2017
I hope I understand this correctly, but I would use Type on population level and person-level, like this R formula (use by packages lme4, rstan_arm, brms):
outcome ~ 1 + Type + (1 + Type|Person) + (1|Situation)
Have a look at https://core.ac.uk/reader/27206240
Estimating the Multilevel Rasch Model: With the lme4 Package
- Badges
- Science topic