I have a dataset with 174 females and 28 males. I am interested in the gender differences, as well as the interactions between gender and other factors, in a continuous dependent variable. Is GLM appropriate for this very unbalanced dataset? What would be a better alternative?
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I think you will find the information you need in the linked thread. Please read it. If it isn't what you want / you still have a question afterwards, come back here & edit your question to state what you learned & what you still need to know. Then we can provide the information you need without just duplicating material elsewhere that already didn't help you. – gung - Reinstate Monica Jan 19 '18 at 18:24
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Your question is about GLMs, but the imbalanced variable is an explanatory variable, not a response. It may be quite reasonable to use a standard linear model (ie, assume a normal response). Note that a t-test is a special case of a linear model, which is a special case of a GLM. Moreover, the issue here plays out the same, so although it may not look like it, this is the same question as the linked thread. – gung - Reinstate Monica Jan 19 '18 at 18:29