When you want to conduct a survey analysis and compare the results for one or more variables with the results of another, there’s only one solution: cross-tabulation. Cross-tabulation is one of the most useful analytical tools and a mainstay of the market research industry. Cross-tabulation analysis, also known as contingency table analysis, is most often used to analyze categorical (nominal measurement scale) data. With them, you can examine relationships within the data that might not be readily apparent when only looking at total survey responses.
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How to use Row or Column regression analysis to predict the value of a variable based on the value of another variable and estimates the probability of an event occurring, based on a dataset of independent variables.