Triangulation involves using multiple data sources, methods, or theoretical perspectives to cross-check findings and reduce bias. By incorporating different viewpoints, triangulation provides a more comprehensive and balanced analysis, helping to mitigate the influence of any single perspective. Example: A discourse analysis of healthcare policies might use governmental reports, media coverage, and interviews with healthcare workers to provide a well-rounded view of how healthcare discourse is constructed.