Triangulation enhances the credibility and validity of research conclusions by combining different approaches. Researchers may use multiple data collection methods, such as interviews, observations and documents, or draw information from different sources. When evidence from these diverse streams converges, confidence in the findings increases. Thus triangulation is fundamentally about cross checking through methodological or data diversity.
Option A:
Option A refers to using only one instrument, which is the opposite of triangulation. Reliance on a single tool may leave findings vulnerable to specific biases or limitations.
Option B:
Option B correctly highlights the deliberate use of multiple methods or sources to confirm patterns. This strategy is frequently recommended in qualitative and mixed methods research to improve trustworthiness and depth of understanding.
Option C:
Option C suggests avoiding comparison between data types, which neglects the real purpose of triangulation. Comparing and integrating findings from different sources is central to this technique.
Option D:
Option D restricts the study to one theoretical perspective, which may narrow interpretation. Triangulation often benefits from multiple perspectives to enrich analysis, although theoretical triangulation is only one form among several.
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