ABSTRACT
Multiple regression is one type of complex associational statistical method. Already, we have done assignments using another complex associational method, Cronbach’s alpha, which, like multiple regression, is based on a correlation matrix of all the variables to be considered in a problem. In addition to multiple regression, two other complex associational analyses, logistic regression and discriminant analysis will be computed in the next chapter. Like multiple regression, logistic regression and discriminant analysis have the general purpose of predicting a dependent or criterion variable from several independent or predictor variables. As you can tell from examining Table 3.4 (p. 50), these three techniques for predicting one outcome measure from several independent variables vary in the level of measurement and type of independent variables and/or type of outcome variable.
