ABSTRACT
In this chapter, the authors begin with statistics in the correlation/regression area, then move to the group differences category, and finish with a few advanced techniques that they classify as other. In all correlational techniques, the researcher is relating one or more independent variables, X , with one or more dependent variables, Y. Leading up to the ultimate procedure are all sorts of correlational and regression techniques. The most common metric used to determine whether differences occur is the mean of the various groups, although other statistics are sometimes used, such as medians or correlation coefficients. Factor analysis is sometimes referred to as "exploratory" factor analysis, because the researcher is interested in learning what "factors" underlie the many variables that have been measured. Structural equation modeling is sometimes referred to as confirmatory factor analysis, although it can serve to explore as well as confirm the relationships among variables.
