For example a study of teaching methods would typically require attention to variation between teachers, between classes of students, and between students within classes. We begin by reviewing the mixed model for balanced data. The special characteristic of repeated measures data is the presence of sequential dependence, usually in time or space. Each individual has their own profile in time or space. Examples of applications include responses at a series of time points from animals, fruit, trees, countries, business firms, and so on.
Models typically require correlation structures that describe the sequential dependence.
This exposition will place a heavy emphasis on exploratory data analysis. There are at least two reasons for this - it provides a gentle introduction to the discussion, and it closely mirrors the way that practical analysis ought to proceed. The information on this page was updated on Jun 30, 2000. The page has been authorised by the Dean, the Graduate School as relevant officer. The Graduate School, Australian National University.