Discovering relationships among data fields that are categorical in nature is an important first step along the analytical journey. It is often necessary to factor into the predictive process controls for interactions, among various characteristics, to determine what is driving the outcomes. The crosstabs procedure in SPSS Statistics is designed to examine patterns between categorical variables.
In this chapter, we will explore the capabilities of this procedure and discuss the interpretation of the results:
- Percentages in crosstabs
- Testing differences in column proportions
- Using a Chi-square test
- Ordinal measures of association
- Nominal measures of association
