Data Triangulation

Data triangulation is a method used to improve the accuracy and reliability of research findings by collecting information from multiple sources or methods. Instead of relying on a single data point, researchers use different types of data, perspectives, or approaches to verify results. This approach helps ensure that conclusions are well-founded and not biased by a single source. For example, a study might combine surveys, interviews, and observations to get a comprehensive understanding of a topic. Overall, data triangulation strengthens the validity of findings by cross-checking evidence from different angles.