Jan 3, 2022 · In data triangulation, you use multiple data sources to answer your research question. You can vary your data collection across time, space, or different people.

TL;DR – What is triangulation in research? Triangulation is about using multiple perspectives to make your research findings more credible and less biased. Data triangulation uses different …

Aug 28, 2025 · Data triangulation refers to the use of multiple data sources to explore the same evaluation question or issue. This method doesn’t just confirm what the data is telling you; it …

Examples of studies using triangulation Below, we offer two examples of triangulation within research studies, providing a context for each study and a description of how triangulation was …

Jun 17, 2025 · Triangulation in research methodology refers to the strategic integration of different data sources, methods, or theoretical perspectives during the research design phase. It is not …

Apr 24, 2025 · Data triangulation in academic research refers to the use of multiple data sources or methods to study a phenomenon, enhancing the validity and reliability of research findings.

Mar 26, 2024 · Triangulation is a vital approach in research, used to enhance the credibility and validity of findings by combining multiple methods, data sources, theories, or investigators.

Dec 20, 2024 · Triangulation in qualitative research is a strategy for enhancing the credibility and trustworthiness of research findings. It involves using multiple data sources, methods, …

Jun 10, 2025 · Data triangulation involves using multiple sources of data to validate research findings. This can include combining quantitative and qualitative data, or using data from …

Triangulation is the use of more than one data source, investigator, theory or method in the same research. There are four main triangulation types: each provides a means for examining the …