What is the effect of triangulating data sources in fieldwork?

• A. Increases validity by triangulating data sources, reducing bias and error.
• B. Reduces reliability by introducing inconsistent data.
• C. Increases bias by adding more sources.
• D. Triangulation is never useful in fieldwork.

Answer: (D)

Triangulation means checking information against multiple sources or methods to verify what you’re finding in the field. This approach strengthens your conclusions because no single source is trusted in isolation; if several independent sources agree, you gain confidence that the pattern is real rather than biased or erroneous.

This boosts validity—the extent to which your results reflect reality—by providing cross-checks and helping you spot inconsistencies that a single source might hide. It also supports reliability, since seeing similar results across different data types suggests your findings aren’t tied to one method or observer.

For example, if field observations align with interview insights and documentary data, you can be more sure about the interpretation. Conversely, if sources disagree, triangulation helps you investigate why and refine your explanations rather than accepting a biased or incomplete picture. Triangulation is a widely used and valuable tool in fieldwork for that reason.