Repeated Measures Design With lme Function
Dear Telli, When you nest question in category, you assume that you have 25 (= 5 x 5) different question which are grouped into 5 categories. In lme4 notation the random effects (1|SubjectID/Category/Question) translate more verbose into (1|SubjectID) + (1|SubjectID:Category) + (1|SubjectID:Category:Question). This make it more clear that you have 3 random intercepts: one per SubjectID, one per combination of SubjectID and Category and one per combination of SubjectID, Category and Question. That last random intercept has only one observation per level and thus doesn't make sense. So I'd go for lme(Essen ~ AgeinYears * Category * Question, random = ~1|SubjectID/Category) Note that I've rearraged the order of the fixed effects. This is yield a different parametrisation which seems a bit more appropriate for this case. Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// 2018-02-10 21:59 GMT+01:00 Telli Davoodi <telli at bu.edu>:
Hi all,
I'm having a hard time defining a model with my repeated measures design
(explained below). This is an experimental design and it is fully balanced.
I would really appreciate it if you have any feedback.
Thanks,
Telli
Here's the design of my experiment: I have 72 children (Subject ID) answer
five questions (Question) about five different categories (Category).
Basically, the same five questions repeat for each category. So, in long
format, every participant has 25 rows (five for each level of category and
within each level of category, question has five levels).
Now, I want to fit a mixed-effects regression model on this data, using the
lme function from the nmle package, but I'm not sure how to account for the
fact that Category repeats with Subject ID and Question repeats with
Category. This is what I have so far, but I'm not sure if I'm specifying
the random part of the model correctly:
summary(Qs <- lme(Essen ~ Question * AgeinYears * Category,
random = ~1|SubjectID/Category/Question, data = Q, na.action = na.omit))
I just want to make sure that I am allowing Category to vary within
SubjectID and Question to vary within Category.
Also, is it correct to say that Category is "nested" under Subject ID and
Question is nested under Category?
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