Triangulation in Data Analysis: A Vital Qualitative Research Tool
Keywords:
Triangulation, Qualitative Research, Data Analysis, Bias, Transcript Review, Social Change, Yin's 5-step Thematic Analysis, Braun and Clarke's 6-step Thematic AnalysisAbstract
Insight into this paper: Qualitative researchers are often surrounded by rich data but face a persistent challenge: determining whether their interpretations genuinely reflect the phenomenon being studied or merely their own analytic lens. This paper explores triangulation as a practical and conceptual tool for enhancing the rigor of qualitative inquiry research. By examining triangulation within the broader context of qualitative data analysis, the authors show how deliberately viewing a phenomenon from multiple perspectives can enhance rigor, credibility, and trustworthiness. Rather than treating triangulation as a procedural checkbox, the paper positions it as a disciplined way of thinking that helps researchers surface complexity, reduce interpretive blind spots, and produce findings that are more defensible and meaningful.
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