It is better to send such questions to the R-SIG-Mixed-Models mailing list,
which I have taken the liberty of cc:ing on this response. Many of the
readers of that list will be able to respond more quickly and knowledgeably
than I can.
On Tue, Dec 1, 2015 at 3:42 PM Elisabeth Schubach <
elisabeth.schubach at uni-jena.de> wrote:
Dear Dr. Bates,
I have got a question to lme4: Is it possible to fit a model with a
response on a higher level by predictors of lower levels? Or do I then
run into the problem of atomistic fallacy? And the only way is to turn
the model around and fit the lower level response by higher level
predictors? I understand that in that case, pinning avoids the
ecological fallacy.
Thank you and kind regards,
Elisabeth Schubach
From: R-sig-mixed-models <r-sig-mixed-models-bounces at r-project.org> on behalf of Douglas Bates <bates at stat.wisc.edu>
Sent: Wednesday, December 2, 2015 11:49 AM
To: Elisabeth Schubach
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] Question to lme4: Higher Level Response
It is better to send such questions to the R-SIG-Mixed-Models mailing list,
which I have taken the liberty of cc:ing on this response. Many of the
readers of that list will be able to respond more quickly and knowledgeably
than I can.
On Tue, Dec 1, 2015 at 3:42 PM Elisabeth Schubach <
elisabeth.schubach at uni-jena.de> wrote:
>
> Dear Dr. Bates,
>
> I have got a question to lme4: Is it possible to fit a model with a
> response on a higher level by predictors of lower levels? Or do I then
> run into the problem of atomistic fallacy? And the only way is to turn
> the model around and fit the lower level response by higher level
> predictors? I understand that in that case, pinning avoids the
> ecological fallacy.
>
> Thank you and kind regards,
> Elisabeth Schubach
>
[[alternative HTML version deleted]]
_______________________________________________
R-sig-mixed-models at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
Elisabeth,
That sort of model is more easily accomplished with structural equation modeling software. Check out the references below.
Croon, M. A. (2007). Predicting group-level outcome variables from variables measured at the individual level: A latent variable multilevel model. Psychological Methods, 12(1), 45-57. doi:10.1037/1082-989X.12.1.45
L?dtke, O., Marsh, H. W., Robitzsch, A., Trautwein, U., Asparouhov, T., & Muth?n, B. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13(3), 203-229. doi:10.1037/a0012869
Marsh, H. W., L?dtke, O., Nagengast, B., Trautwein, U., Morin, A. J. S., Abduljabbar, A. S., & K?ller, O. (2012). Classroom climate and contextual effects: Conceptual and methodological issues in the evaluation of group-level effects. Educational Psychologist, 47(2), 106-124. doi:10.1080/00461520.2012.670488
Steven J. Pierce, Ph.D.
Associate Director
Center for Statistical Training & Consulting (CSTAT)
Michigan State University
-----Original Message-----
From: Douglas Bates [mailto:bates at stat.wisc.edu]
Sent: Wednesday, December 02, 2015 12:49 PM
To: Elisabeth Schubach <elisabeth.schubach at uni-jena.de>
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] Question to lme4: Higher Level Response
It is better to send such questions to the R-SIG-Mixed-Models mailing list,
which I have taken the liberty of cc:ing on this response. Many of the
readers of that list will be able to respond more quickly and knowledgeably
than I can.
On Tue, Dec 1, 2015 at 3:42 PM Elisabeth Schubach <
elisabeth.schubach at uni-jena.de> wrote:
Dear Dr. Bates,
I have got a question to lme4: Is it possible to fit a model with a
response on a higher level by predictors of lower levels? Or do I then
run into the problem of atomistic fallacy? And the only way is to turn
the model around and fit the lower level response by higher level
predictors? I understand that in that case, pinning avoids the
ecological fallacy.
Thank you and kind regards,
Elisabeth Schubach