Triangulation purpose?

Triangulation purpose?

• A. Using a single data source
• B. Using multiple data sources
• C. Increasing sample size
• D. Reducing bias by ignoring data

Answer: (C)

Triangulation aims to strengthen conclusions by combining evidence from more than one data source. By comparing and cross-checking findings across different sources or methods, researchers can confirm patterns, reveal discrepancies, and reduce the influence of biases that might come from a single source. It's not about merely increasing the number of participants or data points from the same source. Nor is it about ignoring data; the idea is to use diverse data to validate results. So the best description is using multiple data sources to bolster trust in the findings.

Triangulation aims to strengthen conclusions by combining evidence from more than one data source. By comparing and cross-checking findings across different sources or methods, researchers can confirm patterns, reveal discrepancies, and reduce the influence of biases that might come from a single source. It's not about merely increasing the number of participants or data points from the same source. Nor is it about ignoring data; the idea is to use diverse data to validate results. So the best description is using multiple data sources to bolster trust in the findings.