Triangulation in qualitative research is used to

Triangulation in qualitative research is used to

• A. Cross-verify findings through multiple data sources or methods to enhance reliability and validity.
• B. Increase the sample size to improve power.
• C. Focus on a single case for depth.
• D. Ignore conflicting data.

Answer: (A)

Triangulation is about strengthening what we conclude by checking it from multiple angles. By bringing in different data sources or using different methods, researchers look for convergence in the findings. When results line up across sources or approaches, this cross-checking increases confidence in the conclusions and reduces the influence of biases tied to any single source or method. That’s why cross-verifying findings through multiple data sources or methods to enhance reliability and validity is the best description. In qualitative work, triangulation can also involve different researchers or theoretical lenses, all aimed at building a more trustworthy and robust picture, rather than relying on a single source, a single method, or ignoring conflicts in the data.

Triangulation is about strengthening what we conclude by checking it from multiple angles. By bringing in different data sources or using different methods, researchers look for convergence in the findings. When results line up across sources or approaches, this cross-checking increases confidence in the conclusions and reduces the influence of biases tied to any single source or method. That’s why cross-verifying findings through multiple data sources or methods to enhance reliability and validity is the best description. In qualitative work, triangulation can also involve different researchers or theoretical lenses, all aimed at building a more trustworthy and robust picture, rather than relying on a single source, a single method, or ignoring conflicts in the data.