Content Type:

Glossary

Share Print

Univariate techniques Definition

Forms of statistical analysis that are used where there is a single measure of each variable or where each variable is measured in isolation of other variables.

Univariate techniques in market research involve analyzing a single variable or data point at a time. These methods aim to describe, summarize and understand the distribution, central tendency and variability of a single variable, such as customer age, purchase frequency or satisfaction score.

Who relies on univariate techniques in the marketing research and insights industry?

Market researchers, analysts and data professionals utilize univariate techniques to gain insights from individual variables. These techniques are foundational for understanding the basic characteristics of data before moving on to more complex analyses. They are used across industries to explore trends, patterns and outliers within specific variables.

Why should I care about univariate techniques in market research?

Univariate techniques provide essential insights into the characteristics of individual variables. By using these techniques, you can identify trends, outliers and potential areas for further investigation. Understanding the basic distribution of data sets the stage for more advanced analyses, enabling you to make informed decisions and develop effective strategies.

Why are univariate techniques important to market research?

• Univariate techniques serve as the building blocks of data analysis.
• Univariate techniques help researchers and analysts uncover initial insights, detect anomalies and understand the fundamental features of data.
• This understanding is crucial for accurate interpretation and informed decision-making in market research, leading to more effective business strategies and outcomes.