Day: May 14, 2009

Random effect: Should I stay or should I go?

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One of the more common questions I get about mixed models is whether there are any standards regarding the removal of random effects from the model. When should a random effect be included in the model? This was also one of the questions we had hope to answer for our field (psycholinguistics) in the pre-CUNY Workshop on Ordinary and Multilevel Models (WOMM), but I don’t think we got anywhere close to a “standard” (see Harald Baayen’s presentation on understanding random effect correlations though for a very insightful discussion).

That being said, I find most of us would probably agree on a set of rules of thumb, at least for factorial analyses of balanced data: Read the rest of this entry »