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Refers to the conditions under which a statistics procedure yields valid estimates and/or inference. E.g., many statistical techniques require the assumption that the data are randomly sampled in some way. Theoretical results about estimators usually require assumptions about the data generating mechanism.
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Using random slopes & intercepts with dichotomous IV in multilevel logit?
Or does the dichotomous nature of the variable violate any assumptions of random slope GLM models?
Context
I am examining incident-level data of protests in Europe. … I'm confused by this, and wondering whether I'm violating multilevel GLM assumptions by including random slopes with a dichotomous IV.
Thank you! …