What type of data does triangulation typically involve?

Triangulation typically involves the use of multiple methods or data sources to enhance research credibility. This approach allows researchers to cross-validate findings and gain a more comprehensive understanding of the research problem. By integrating different perspectives—whether they be qualitative, quantitative, or mixed—triangulation helps to mitigate biases and provide a richer interpretation of the data.

In the context of research, triangulation can involve gathering information through various means such as interviews, surveys, observations, and document analysis. This combination of methodologies serves to confirm results, increase confidence in findings, and ensure a robust interpretation of the data collected. It’s a key strategy used to improve the validity and reliability of research outcomes.