Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ===== ๐ What is Triangulation in Research? ===== **Triangulation** is a research method used to improve the **validity** and **credibility** of findings by combining multiple sources, methods, or perspectives to study the same phenomenon. ==== ๐งช Purpose ==== Triangulation helps reduce **bias**, increase **accuracy**, and validate **self-reported data** with more objective evidence. ==== ๐ Example in Context ==== In alumni surveys using a **cross-sectional, self-report design**, triangulation might involve verifying: * Survey answers against **publication databases** * Reported achievements with **grant records** * Career outcomes using **institutional data** ==== ๐งฐ Types of Triangulation ==== ^ Type ^ Description ^ Example ^ | Data triangulation | Using multiple data sources | Self-report + publication records | | Methodological | Applying different methods | Surveys + interviews | | Investigator | Multiple researchers reviewing data | Independent analysis by several evaluators | | Theory triangulation | Using different theoretical lenses | Analyzing results using both feminist and economic theories | ==== ๐งต Summary ==== Triangulation strengthens research by validating findings through **multiple independent approaches**, rather than relying on a single, potentially biased method. triangulation.txt Last modified: 2025/07/16 09:54by administrador