What is triangulation in data verification?

Triangulation in data verification involves using multiple methods or data sources to confirm the accuracy of information. This approach enhances the reliability of findings by cross-checking data from various angles, thus reducing the likelihood of biases or errors that might arise from relying on a single source or method. By integrating different forms of evidence—such as qualitative data, quantitative measures, or multiple datasets—researchers and analysts can ensuring that conclusions drawn are robust and well-supported.

In contrast, using different software tools for analysis focuses on the technology used rather than the methodology of validating data. Relying on a single method to validate data limits the assessment's thoroughness and can lead to overlooking potential discrepancies. Lastly, focusing solely on qualitative data restricts the scope of analysis and may omit critical quantitative insights that could corroborate or refute findings.