What is triangulation in research methods?

Triangulation in research methods refers to the practice of utilizing multiple data sources, methods, or theoretical perspectives to enhance the credibility and validity of a study. By integrating various approaches, researchers can cross-verify findings and provide a more comprehensive understanding of the research problem. This multifaceted approach reduces the risk of biased interpretations that could arise from relying on a single method or data source.

Incorporating triangulation can lead to richer data and more nuanced insights, as it allows researchers to view their subject from different angles. For instance, a study on educational outcomes might use quantitative surveys, qualitative interviews, and observational data to paint a fuller picture. This method enhances the robustness of the findings and assures that researchers have not overlooked critical information.

The other responses describe approaches that do not align with the concept of triangulation. One method would limit the study's perspective, while another only focuses on certain participants, and another is vague in terms of research design. Overall, triangulation is about diversity in data collection and analysis, aiming for a more reliable and valid research outcome.