In research, what does triangulation refer to?

Triangulation in research refers to employing multiple methods to collect data on the same topic. This approach enhances the credibility and validity of the findings by providing a more comprehensive understanding of the research question. By utilizing various methods, such as qualitative interviews, surveys, or observational techniques, researchers can cross-verify data and draw more robust conclusions.

This method is particularly valuable as it allows for the exploration of different perspectives, reducing the potential biases inherent in any single method. For instance, qualitative data can provide deeper insights that complement statistical findings, leading to a more nuanced understanding of the subject matter. Overall, triangulation is a key strategy for strengthening research outcomes and ensuring that they are reliable and applicable across different contexts.