Content Type:

Glossary

Share Print

Triangulation Definition

A research approach that employs three methods of data collection such as surveys, interviews, and observations. Often used as a method of establishing the accuracy of information. Also known as multi-modal method.

Triangulation refers to the use of multiple methods, data sources or perspectives to cross-verify and validate research findings. By combining various approaches, researchers can gain a well-rounded and accurate understanding of a subject, minimizing biases and increasing the reliability of their conclusions.

How does triangulation work?

Triangulation involves:

1. Using multiple methods: Employing different research methods, such as surveys, interviews and observations to gather data.
2. Incorporating diverse data sources: Collecting data from various populations, geographic regions or contexts.
3. Applying different perspectives: Engaging multiple analysts or theoretical frameworks to interpret the findings.

Triangulation reduces reliance on a single source of data or method. It enhances the depth and credibility of research insights and helps identify consistencies or discrepancies in the findings.

Why is triangulation important?

Triangulation is critical for ensuring the validity and trustworthiness of research findings. By cross-referencing data from multiple approaches, researchers can reduce errors, avoid biases and draw more accurate and comprehensive conclusions.

Triangulation strengthens confidence in your research results. It provides a more holistic view of the research subject and reduces the likelihood of making incorrect decisions based on flawed data.

Who relies on triangulation?

Triangulation is used by:

• Market researchers and analysts: To validate findings and uncover deeper insights.
• Business leaders: To make well-informed strategic decisions based on reliable data.
• Policy makers: To ensure policy recommendations are based on robust evidence.
• Academics and scholars: To enhance the credibility of their studies.

How does triangulation improve market research outcomes?

Triangulation improves outcomes by increasing accuracy through cross-verifying data and strengthening the reliability of findings; minimizing bias using varied sources and methods, reducing the influence of individual or methodological biases; and deepening understanding by providing a multidimensional view of the research topic.