Logistic Regression Analysis

Abstract

This chapter describes the logistic regression. It is a powerful statistical technique for examining the assumed causal relationships between a set of independent variables on the probability of occurrence of an event which is one category of a binary dependent variable. Here, the effects of the variables are presented through odds, which are the ratio of the probability of an event will occur over the probability of the same event will not occur. Section 3.1 shows how the odds are presented as a function of a set of independent variables. Section 3.2 presents how the effects of variables can be controlled that is necessary to obtain the logistic coefficient. Section 3.3 illustrates how the pure effect of each of the independent variables can be specified. Section 3.4 shows how the qualitative variables can be used as binary or dummy variables. Section 3.5 illustrates the appropriate logistic regression method for testing hypotheses. Finally, Sect. 3.6 presents how to obtain the logistic regression coefficients by SPSS.