Triangulation in mixed-methods research serves what purpose?

• A. Using multiple methods or data sources to corroborate findings; increases credibility and validity.
• B. Using only one method to simplify analysis.
• C. Triangulation is a statistical test for variance.
• D. Triangulation is about triangulating sample sizes.

Answer: (B)

Triangulation uses multiple methods or data sources to corroborate findings, helping to strengthen credibility and validity. By checking whether results converge across different approaches—such as combining surveys with interviews, observations, or existing records—researchers can see if a pattern holds beyond a single method. This cross-check reduces the influence of method-specific biases and random error, making conclusions more trustworthy. For instance, if both a quantitative measure and qualitative narratives point to the same conclusion, confidence in that conclusion increases. If methods diverge, it signals areas for deeper investigation rather than a rushed final claim. The other options miss the point: using only one method ignores the corroboration triangulation provides, and triangulation is not a statistical test for variance or about adjusting sample sizes.