Triangulation is an approach to data analysis that synthesizes data from multiple sources. Triangulation seeks to examine existing data quickly to strengthen interpretations and improve policy and programs. By examining information collected by different methods, by different groups and in different populations, findings can be corroborated across data sets, reducing the effect of potential biases that can exist in a single study.
Triangulation combines information from quantitative and qualitative studies, incorporates prevention, care and treatment program data. It can answer questions on risk groups, program effectiveness, policy and budget planning, and the state of the epidemic in a changing environment. Triangulation is a powerful tool when a rapid response is needed or when good data do not exist to answer a specific question. This approach can be used when the collection of new data is not feasible or cost-effective.
See Triangulation resources (including materials, country reports and data synthesis profiles) as well as Technical Assistance in Triangulation training resources.
PPHG offers four options for conducting technical assistance in triangulation, depending on the data and resources available. Each option involves an increasing level of engagement and time investment by the host country.
Please click on the links below to learn more about each of the options. To learn more about signing up for one of our workshops, please visit our Trainings/Workshops page.