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I was hoping that I could get some feedback in terms of keywords I should searching for, or concepts I need to consider with the following:

I have non-experimental data that I would like to model in a regression format. Unfortunately, I only have 12 subjects and a set of repeated measures of 6 observations: spring, summer, fall for 2 years. My question is what type of model should I consider to do this? I absolutely have some reading to do, so I am hoping for any leads on where to start.. key words, or direct advice on a literature source.

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What question are you trying to answer and what data have you collected? This question is too vague to get any useful information. – AdamO Apr 27 '12 at 17:37

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Your situation could be found referred to by various names including: panel data analysis (wiki)--most common name in social sciences, longitudinal data analysis--most common name in biomedical sciences; names for the models include: multilevel models, and hierarchical linear models. Probably the best regarded intro book would be Fitzmaurice, Laird & Ware.

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Two general areas are multilevel models and generalized estimating equations. You could also search on "longitudinal data" There are many good books on this subject. One that I like is Hedeker and Gibbons, but choice of book partly depends on what software you are using and how technical a book you want.

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Thanks Peter, I mainly use R, and the level of technicality shouldn't be too much of a problem (I've had 2 theory courses, but we never touched on these types of things, nor in my applied classes). I will check out your suggestions.. thanks again. – Patrick Apr 30 '12 at 15:25

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