Data triangulation validates your data and research by cross verifying the same information. This triangulation of data strengthens your research paper because your data has increased credibility and validity.
The triangulation of data occurs when multiple theories, materials or methods are used. The following are a few of the most common approaches:
Data source triangulation—Using evidence from different types of data sources, such as primary and secondary research or interviews, documents, public records, photographs and observations
Methodology triangulation—Combining multiple methods to gather data, such as documents, interviews, observations, questionnaires or surveys, when conducting primary research, at different times and in different places
Theory triangulation—Using more than one theoretical approach (theory) to interpret and support data