What is typically the outcome when data triangulation is used in research?

When data triangulation is used in research, it typically strengthens confidence in the research findings. This method involves using multiple data sources, methods, or theoretical perspectives to address a research question. By converging evidence from different approaches, researchers can cross-validate findings, which enhances reliability and validity. The idea is that if different data sources yield similar results, it confirms the accuracy of the conclusions drawn. This increases the robustness of the research and provides a more comprehensive understanding of the phenomenon being studied.

Triangulation reduces the possibility of bias that can arise from relying solely on one perspective or method, leading to a more nuanced and thorough exploration of the research topic. Thus, it is widely regarded as a valuable technique to enhance the depth and trustworthiness of research findings.