Cross-validating findings from multiple data sources is called what?

Cross-validating findings from multiple data sources is called what?

• A. Data Triangulation
• B. Triangulated Sampling
• C. Inter-rater Reliability
• D. Cross-Source Validation

Answer: (A)

Data triangulation. The idea is to verify findings by comparing information from multiple sources or methods, so when different data converge on the same conclusion, your confidence in the result increases. For example, a study might look at survey responses, interview transcripts, and usage records; if all point to the same pattern, that pattern is supported by triangulation, helping to reduce bias from any single source. Inter-rater reliability focuses on consistency between evaluators, not cross-checking across sources; triangulated sampling isn’t a standard term, and cross-source validation isn’t the usual label for this practice.

Data triangulation. The idea is to verify findings by comparing information from multiple sources or methods, so when different data converge on the same conclusion, your confidence in the result increases. For example, a study might look at survey responses, interview transcripts, and usage records; if all point to the same pattern, that pattern is supported by triangulation, helping to reduce bias from any single source. Inter-rater reliability focuses on consistency between evaluators, not cross-checking across sources; triangulated sampling isn’t a standard term, and cross-source validation isn’t the usual label for this practice.