The design and analysis of data when individuals are in more than one
group are discussed. In the generations design, the group members chan
ge across time in a pattern that mimics the birth and death of members
in families. We present a regression-based approach to the estimation
of conformity and stability parameters. In a rotation design, people
interact in multiple groups and multiple sessions and each group invol
ves a different set of partners. For two different types of rotation d
esigns, we present a variance decomposition approach. For all designs
discussed, we illustrate the analysis with results from actual studies
.