ABSTRACT
This chapter discusses the logic of controlling and focuses on a different way to present regression results when have multiple models. It suggests how to tell different types of nested stories and shows how to distinguish between an intervening variable and a suppressor variable. The chapter argues how to judge improvement from model to model and proposes the importance of constant sample size. It also shows that how researchers used nested models to examine how race affects grades and also suggests how a researcher used nested models to study media and fear of crime. The chapter covers one of the most important concepts in social statistics: statistical control. Controlling with regression allows us to tell some very interesting stories. The chapter begins with to show that the idea of controlling exists within our daily lives, although we may not think about it as statistical in nature.
