Cross tabulation is a method to quantitatively analyze the relationship between multiple variables. Also known as contingency tables or cross tabs, cross tabulation groups variables to understand the correlation between different variables. It also shows how correlations change from one variable grouping to another.

Why do researchers use cross tabulation?

Researchers use cross-tabulation to examine the relationship within the data that is not readily evident. It is quite useful in market research studies and surveys. A cross-tab report shows the connection between two or more questions asked in the study.

Why do we cross tabulate?

Cross tabulation is used to quantitatively analyze the relationship between multiple variables. Cross tabulations — also referred to as contingency tables or crosstabs — group variables together and enable researchers to understand the correlation between the different variables.