Analysis Applications: Simple
Correlation and Regression
|•||Nominal Independent Variables|
Empirical research investigates relationships between scores on operational variables. This chapter begins the “good stuff' from a data analysis perspective. It introduces two procedures that generate statistics to describe relationships among variables: correlation and regression.
Correlation and regression are attractive because they are appropriate any time a research problem involves a dependent variable that is measured at a nearly interval level or better and has one or more independent variables. This is a sweeping claim—intendedly so. Consider the following illustrative studies: