What is triangulation in research?

Triangulation in research refers to the practice of using multiple methods or sources to increase the credibility and validity of findings. By integrating diverse approaches, researchers can cross-verify data, reducing the likelihood of bias and enhancing the robustness of their conclusions. This multifaceted approach allows for a more comprehensive understanding of the research question, as it combines various perspectives and types of data, leading to richer insights.

For example, in a study on educational outcomes, a researcher might use surveys, interviews, and observational methods to capture different dimensions of student experiences. By doing so, they can corroborate findings from one method with those of another, thereby strengthening the overall validity of the research.

The other options focus on limiting the scope of research. Exclusively using one research method or relying on a single data source restricts the depth and breadth of insights that can be gained. Although qualitative and quantitative data can indeed be combined, this alone does not encapsulate the broader concept of triangulation, as triangulation encompasses the broader strategy of integrating various methodologies and data sources to validate findings.