Research Topics:

Data Analysis | Statistical Analysis

Content Type:

Glossary

Covariate Definition

A variable that might be predictive of the outcome under study. A covariate may be of direct interest or be a confounding variable or effect modifier. Gender is a covariate of the life expectancy outcome, for example.

A covariate is a variable that is not the primary focus of the study but is taken into account to control its potential influence on the relationship between the independent and dependent variables. In other words, it is a variable that might be predictive of the outcome under study. A covariate may be of direct interest or be a confounding variable or effect modifier. Covariates can ensure the validity and reliability of research findings. Also, they help identify and control for factors other than the main variables of interest that might influence the outcomes. One example of a covariate is gender and its impact on life expectancy.

Who relies on covariates?

Marketing researchers and analysts look to covariates to ensure that the impacts observed between variables are not confounded by external factors. In addition, industries, companies and organizations looking to make marketing decisions also benefit from studies that consider covariates.

Why should I care about covariates?

Understanding covariates can establish more accurate cause-and-effect relationships in marketing research. Accounting for potential confounding variables can lead to more reliable decisions and marketing strategies.