Running Repeated Measures as a Mixed Model

There are two ways to run repeated measures data--a multivariate approach in which each repeated response is a unique variable and a univariate, mixed-model approach in which all responses are a single variable, and the effects of the respeated measurements are directly estimated.

While the multivariate approach is relatively easy, it is limited. The mixed model approach can handle many more varied designs, missing data, and, with modifications, discrete and categorical responses.

This webinar is a basic overview of the two approaches. You will see the differences in how data must be entered in the two approaches, the results, and a few examples of the types of data that can be analyzed.

What you will receive:

1. A Downloadable 60-minute Video: Dummy Coding and Effect Coding in Regression Models

2. 3 separate sample model handouts

for $17.00