Triangulation involves combining different methods, investigators, theories or data sources to study the same phenomenon. When these independent strands of evidence converge on similar conclusions, confidence in the findings increases, enhancing credibility and trustworthiness.
Option A:
Option A suggests reducing data, whereas triangulation often increases data because more than one method or source is used.
Option B:
Option B is correct as it emphasizes corroboration of findings across methods or sources. This cross-checking helps to offset the limitations of any single approach.
Option C:
Option C restricts analysis to numerical data, which is contrary to the qualitative aspects often central to triangulation.
Option D:
Option D proposes avoiding comparison, while triangulation explicitly involves comparing evidence from different angles.
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