What is a common rationale for triangulation?

• A. To confuse families
• B. To avoid using qualitative data
• C. To inflate achievements
• D. To corroborate findings across multiple sources

Answer: (D)

Triangulation is a way to strengthen conclusions by checking them against multiple data sources or methods. When findings appear consistent across different kinds of evidence—such as interviews, observations, and document reviews—that convergence increases confidence that the results reflect what’s really happening rather than a quirk of one method or source. This cross-checking also helps reveal biases and gaps, giving a fuller and more credible picture of the phenomenon.

The other ideas don’t fit because triangulation isn’t about confusing families, avoiding qualitative data, or inflating achievements. It is fundamentally about validating findings through multiple perspectives.