Confounding Variables in Quantitative Studies

Summary: Confounding variables interfere with quantitative studies, leading to inaccurate results. Avoid introducing such variables by randomizing your study’s conditions and keeping your research questions focused.

Quantitative studies (such as surveys , quantitative usability testing , and analytics experiments) can offer valuable insights for product development. However, it is crucial to carefully design quantitative studies to ensure accuracy and reliability.

UX teams often rely on quantitative research to help them make important decisions. Basing those decisions on faulty data can lead to serious design mistakes and misallocated resources.

(Quantitative UX research involves lots of terminology and jargon, so consider referring to this quantitative-research glossary for quick definitions.)