triangulation

Question 1

advantages

Answer 1

1. Increases Validity and Credibility
   Triangulation allows researchers to cross-verify findings from different methods, increasing the validity and robustness of the results. Quantitative methods provide measurable and generalizable data, while qualitative methods add depth and context, ensuring a more comprehensive understanding of the research problem (Creswell & Plano Clark, 2018).
2. Provides Complementary Strengths
   Qualitative data explain the “why” and “how” behind numerical trends identified in quantitative analysis. For example, surveys might reveal patterns, while interviews or focus groups can explain the underlying reasons (Bryman, 2006).
3. Reduces Bias
   Relying on a single method may introduce methodological bias. Combining qualitative and quantitative methods mitigates this risk by offering multiple perspectives on the same issue (Flick, 2018).
4. Addresses Complex Research Questions
   Triangulation is particularly useful for addressing multifaceted research questions. Quantitative methods can measure outcomes, while qualitative approaches explore participant experiences or perceptions that quantitative methods alone might miss
5. Enhances Generalizability and Transferability
   Quantitative results can provide generalizable findings, while qualitative results enhance transferability by contextualizing findings within specific settings or populations (Patton, 2015).