What is triangulation in research?

What is triangulation in research?

• A. Using a single data source to gain insights
• B. Combining multiple data sources, methods, or theories for credibility
• C. Employing biased methods to gather data
• D. Adopting a uniform approach for all research findings

Answer: (B)

Triangulation in research refers to the practice of combining multiple data sources, methods, or theories to enhance the credibility and validity of the study's findings. By incorporating various perspectives or approaches, researchers can achieve a more comprehensive understanding of their research questions and mitigate potential biases that may arise from relying on a single method or source. This multidimensional approach allows for cross-verification of data and insights, strengthening the overall quality and reliability of the research outcomes. In essence, triangulation serves to corroborate findings across different contexts or methodologies, leading to more robust conclusions. It highlights the importance of looking at a problem from various angles to better understand complex phenomena in the social sciences and other fields.

Triangulation in research refers to the practice of combining multiple data sources, methods, or theories to enhance the credibility and validity of the study's findings. By incorporating various perspectives or approaches, researchers can achieve a more comprehensive understanding of their research questions and mitigate potential biases that may arise from relying on a single method or source. This multidimensional approach allows for cross-verification of data and insights, strengthening the overall quality and reliability of the research outcomes.

In essence, triangulation serves to corroborate findings across different contexts or methodologies, leading to more robust conclusions. It highlights the importance of looking at a problem from various angles to better understand complex phenomena in the social sciences and other fields.