Triangulation multiple evidence – UGC NET Question

Triangulation involves deliberately combining different methods, data sources, investigators or theoretical perspectives to study the same phenomenon. When findings converge across these diverse approaches, confidence in their accuracy increases. Triangulation can reduce method-specific biases and provide a more comprehensive understanding. Thus, the practice of using multiple forms of evidence to cross-check results is correctly known as triangulation.

Option A:
Standardisation refers to keeping procedures and instructions consistent for all participants to control variability, but it does not necessarily involve multiple methods or sources.

Option B:
Triangulation can include method triangulation (e.g., interviews plus observation), data triangulation (different times or groups) and investigator triangulation (multiple researchers), all aimed at corroborating evidence. This multi-angle approach matches the stem’s emphasis on cross-checking findings, so this option is correct.

Option C:
Randomisation assigns participants to conditions by chance to control for selection bias, which is distinct from validating results via diverse evidence.

Option D:
Extrapolation means extending findings beyond the studied conditions or populations, and while it relies on strong evidence, it is not itself the process of collecting convergent evidence from multiple sources.