This assignment defines triangulation as a research method used to validate data by cross-verifying information from multiple sources, encompassing both quantitative and qualitative data. The paper highlights the importance of triangulation in enhancing the reliability and validity of research outcomes. It discusses the different types of triangulation, including data, investigator, theoretical, and methodological approaches, emphasizing their roles in building confidence in research data, generating new insights, and minimizing inconsistencies. The assignment also briefly acknowledges the time-consuming nature of triangulation and potential disadvantages such as investigator biasness. The document concludes by underscoring the need to select the most suitable triangulation method for specific research objectives, with references supporting the concepts discussed. This assignment is a student contribution for the Desklib platform, which offers various AI-based study tools.