What is triangulation in the context of research methods?

Triangulation in research methods refers specifically to the use of multiple data sources, methods, or perspectives to enhance the credibility and validity of research findings. By incorporating various approaches, researchers can corroborate evidence, reduce bias, and gain a more comprehensive understanding of the research topic. This process allows for a more robust and dependable analysis because it mitigates the limitations that might arise from relying on a single data source or method. For instance, combining qualitative and quantitative data can provide richer insights.

The other options reflect limited approaches that do not contribute to the credibility of research. For example, relying on a single method or a single participant can lead to findings that lack generalizability or robustness. Similarly, using similar sources might not provide the necessary diversity in data needed to validate the results accurately. Triangulation is a fundamental principle aimed at achieving a more nuanced, reliable, and multifaceted outlook on the research question.