De Maeyer & Huub van den Berghe
Duration: 3 hours
Participants limit: 15
often face situation where data are gathered on different observational units.
A classical example from educational research involves the investigation of the
impact of school characteristics on the performance of the students with
students nested within schools. Another example often encountered in educational
research are studies with the same subjects measured on multiple occasions
(e.g. pre-test/post-test designs, or longitudinal designs). Hence, observations
are nested within subjects. Multilevel analysis, or more generally mixed modelling, provides a solution to
the problems with this kind of (nested) data.
In this workshop you will teach you to
perform basic multilevel
analyses. We will start from a very basic multilevel model and elaborate this
model to accommodate research designs with a pre-test post-test design. For
this workshop we will use the SPSS software package. We mix up theory and hands-on
exercises in such a manner that theoretical explanations can be applied
directly in a realistic research situation.