mixed model with non-continuous numeric response
( ..., family="poisson") is the most used option for count data Reinhold Kliegl On Mon, Dec 22, 2008 at 12:54 PM, Daniel Ezra Johnson
<danielezrajohnson at gmail.com> wrote:
Dear all, I have survey results where the response is 1, 2, 3, or 4. These can be thought of as equally-spaced points on a scale, I don't have a problem with that. (They're actually more like "not at all", "some", "mostly", "totally"; the subject is judging a stimulus.) I want to model crossed random effects for Subject and Item. Am I way off base in modeling this data with a lmer(family="gaussian") model? I know it's not perfect, but is it really bad? If so, what could I do instead? (The error certainly wouldn't be binomial, right?) Thanks, Daniel
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