We have already seen that varying two factors simultaneously provides an effective experimental design for exploring the main (average) effects and interactions of the factors 1. However, in practice, ...
In order to make smart decisions at work, we need data. Where that data comes from and how we analyze it depends on a lot of factors — for example, what we’re trying to do with the results, how ...
AbstractThis study examines participants’ savings in children’s savings accounts (CSAs) set up for AIDS-orphaned children ages 10–15 in Uganda. Using a cluster-randomized experimental design, we ...