What is the primary purpose of data triangulation in evaluation?

The primary purpose of data triangulation in evaluation is to enhance the credibility of the findings by integrating multiple data sources. By utilizing various methods, perspectives, or types of data, evaluators can cross-verify results and strengthen the overall robustness of their conclusions. This approach helps to provide a more comprehensive understanding of the evaluation subject, reducing the potential influence of biases that may be present in any single data source.

The value of triangulation is particularly evident in complex evaluations where the interplay of different data sets can reveal more nuanced insights. This strategy not only adds depth to the analysis but also increases the reliability of the results, making it more likely that the findings accurately reflect the reality being studied.