[R-sig-ME] Assumptions of GLMMs

[Henrik Singmann]

As you are from psychology, the following two migth also be of interest (and contain further references):

Jaeger, T. F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models. Journal of Memory and Language, 59(4), 434–446. doi:10.1016/j.jml.2007.11.007

Dixon, P. (2008). Models of accuracy in repeated-measures designs. Journal of Memory and Language, 59(4), 447–456. doi:10.1016/j.jml.2007.11.004

Cheers,
Henrik

Am 13.05.2014 20:50, schrieb Ben Bolker:
> On 14-05-13 12:04 PM, Baggett, Aaron wrote:
>> Hi all:
>>
>> Can anyone direct me to a few resources which outline the fundamental
>> assumptions of GLMMs with a dichotomous outcome?
>>
>> Thanks,
>>
>> Aaron Baggett Dept. of Psychology University of Mary Hardin-Baylor
>> (254) 295-4553 -------------------------------------- Sent via mobile
>> device _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
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>>
>
> http://lme4.r-forge.r-project.org/lMMwR/lrgprt.pdf (p 119)
> http://ms.mcmaster.ca/~bolker/bbpapers/Bolker+2009-glmm.pdf (username
> 'bbpapers', password 'research')
>

-- 
Dipl. Psych. Henrik Singmann
PhD Student
Albert-Ludwigs-Universität Freiburg, Germany
http://www.psychologie.uni-freiburg.de/Members/singmann