Growth models

This lecture completes a series of three lectures on multilevel models, repeated measures (as a multilevel model), and growth models. We begin by looking at what a growth model is before diving into an example about rehabilitating zombies. We remind ourselves of what fixed and random effects are and how this relates to change over time. We then have an unpleasant diversion into covariance structures and in particular a first-order autoregressive covariance structure. We then plough on into looking at traditional approaches to analysing time and how the multilevel approach affords more options to us. We look at fitting first- and second-order growth models to the data.
Learn R alongside these lectures with the discovr package (www.discovr.ro...)