In this chapter, we address eight questions:

- Why is description a valuable goal in its own right?
- Why do we need to use scientific methods to accomplish the goal of description?
- Why is it difficult to infer causality from correlational designs?
- Which correlational design should you use?
- How can data from a correlational design be summarized?
- What do positive and negative correlation coefficients mean?
- What common statistical tests can be used on correlational data?
- When analyzing data from a correlational design, how do you interpret the results of a test of statistical significance?