Triangulation in data verification involves

Triangulation in data verification involves

• A. Cross-checking data against multiple sources
• B. Relying on a single source
• C. Ignoring metadata
• D. Discarding data with anomalies

Answer: (A)

Triangulation means cross-checking data against multiple sources or using multiple methods to verify findings. By comparing information from different angles, you reduce the risk that errors or biases from one source will mislead you, and you gain greater confidence when independent sources agree. That’s why cross-checking data against multiple sources best describes triangulation. Relying on a single source lacks that redundancy, ignoring metadata misses valuable context, and discarding data with anomalies prevents you from examining potentially meaningful patterns rather than prematurely dismissing them.

Triangulation means cross-checking data against multiple sources or using multiple methods to verify findings. By comparing information from different angles, you reduce the risk that errors or biases from one source will mislead you, and you gain greater confidence when independent sources agree. That’s why cross-checking data against multiple sources best describes triangulation. Relying on a single source lacks that redundancy, ignoring metadata misses valuable context, and discarding data with anomalies prevents you from examining potentially meaningful patterns rather than prematurely dismissing them.