Summary

This chapter has taken us from simple one-way designs to more complex factorial designs. We’ve also learned how to extend the simple linear model to include interactions and the average main effects.

Interactions are assessed relative to an additive expectation, where the treatment effects are independent of each other. Interactions can be positive when effects are more than additive, or negative when they’re less than expected.