Research Topics:

Data Analysis | Data Crosstabulation | Statistical Analysis

Content Type:

Glossary

Crosstabulation Definition

Examination of the responses to one question relative to responses to one or more other questions.

Crosstabulation, sometimes called crosstab, analyzes the relationships among two or more categorical variables. This statistical technique examines the responses to one question in relation in response to one or more other questions. It involves creating a contingency table that displays the frequency distribution of variable combinations, which permits researchers to discover patterns, trends and associations among categories. This method reveals insights into consumer behavior, preferences and other relevant marketing factors. Crosstabulation goes beyond simple data presentation and explores the connections among categorical variables. This technique also identifies correlations, dependencies and trends that might not be immediately obvious.

Who relies on crosstabulation?

Market analysts, product managers, advertising professionals and strategic planners use crosstabulation to make decisions about marketing strategies and to better understand their target audience.

Why should I care about crosstabulation?

Crosstabulation uncovers hidden patterns and relationships within marketing data. By using this method, marketing professionals can make decisions that are grounded in data-driven insights. Crosstabulation clarifies how different variables interact.