Triangulation is a research strategy used to improve the credibility, validity, reliability, and comprehensiveness of research findings by combining multiple methods, data sources, theories, or investigators. In gender analysis, triangulation is particularly valuable because gender relations are complex, socially constructed, and influenced by cultural, economic, political, and institutional factors. A single method or source may not capture the full reality of gender inequalities, making triangulation an essential approach for understanding diverse experiences and perspectives. The concept of triangulation was introduced by Norman Denzin, who identified different forms of triangulation to strengthen research quality. Rather than relying on one source of information, triangulation enables researchers to compare and cross-check evidence from different angles. This process reduces bias and increases confidence in research findings. Data triangulation involves collecting information from different groups, places, or periods of time. In gender analysis, researchers may gather data from women, men, children, community leaders, government officials, and civil society organizations. Information collected from rural and urban settings or across different socioeconomic groups helps reveal variations in gender roles, access to resources, and decision-making power. Data collected at different times can also identify changes in gender relations over time. Methodological triangulation refers to the use of more than one research method. Quantitative methods such as surveys and structured questionnaires can measure employment rates, literacy levels,