[R-lang] How to use mixed-effects models on multinomial data [R-lang Digest, Vol 23, Issue 2]
H.Quene at uu.nl
Thu May 7 05:06:49 PDT 2009
A few years ago we solved a similar problem by means of a two-stage
bootstrap analysis. Our data consisted of mispronunciations in
various categories (no error, error interrupted, error
noninterrupted, other error, etc).
First, we did a two-stage resampling of the data set (i.e. first
resampling subjects, and then resampling responses within resampled
subjects). Then we ran a multinomial logistic regression on the
selected responses, yielding a regression coefficient for each term
in the model.
The above steps were repeated 250 times.
The resulting regression coefficients, 250 for each term in the
model), were used to determine the 95%CI (i.e. the P025 to P975
interval) for each term.
For more details and results, see:
Nooteboom, S.G., & Quené, H. (2008). Self-monitoring and feedback: a
new attempt to find the main cause of lexical bias in phonological
speech errors. Journal of Memory and Language, 58 (3), 837-861.
Hope this helps! With kind regards, Hugo Quené
> Date: Mon, 4 May 2009 11:36:09 +0200
> From: "Linda Mortensen" <Linda.Mortensen at psy.ku.dk>
> Subject: [R-lang] How to use mixed-effects models on multinomial data
> To: <r-lang at ling.ucsd.edu>
> <7A47FC91544BDC44B54C6807E6995019CE8D1E at ibtmail1.ibt.ku.dk.ad>
> Content-Type: text/plain; charset="iso-8859-1"
> Dear R-language experts,
> I'm trying to run a logistic regression on ordered multinomial data. - The dependent variable is number of correct items with accuracy ranging from 0 to 5. I want to use a mixed-effects model, but am unsure about how to use this model to fit multinomial data. Can you help?
> Linda Mortensen
> Post-doctoral research fellow
> Department of Psychology
> University of Copenhagen
> ?ster Farimagsgade 2A
> 1353 Copenhagen K
> Tel.: +45 3532 4889
> E-mail: linda.mortensen at psy.ku.dk
Dr Hugo Quené | assoc prof in Phonetics | Utrecht inst of
Linguistics OTS | Utrecht University | Trans 10 | 3512 JK Utrecht |
The Netherlands | T +31 30 253 6070 | F +31 30 253 6000 |
H.Quene at uu.nl | www.hugoquene.nl | www.hum.uu.nl
More information about the R-lang