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1:01:02
YouTube
Andy Field
Multilevel models
This lecture is a low-level introduction to multilevel models. We begin by looking at examples of hierarchical data structures and these create dependencies in model errors. We look at the distinction between fixed and random model parameters. We then look at an example based an RCT style design of an intervention implimented across 10 clinics ...
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