How can data triangulation strengthen an evaluation?

Data triangulation strengthens an evaluation by incorporating multiple data sources to enhance the credibility of the findings. This approach allows evaluators to validate their results through various lenses, leading to a more comprehensive understanding of the subject being evaluated. By cross-referencing and corroborating information from different sources, evaluators can identify patterns, verify outcomes, and gain deeper insights. This not only increases the reliability of the evaluation but also minimizes biases that might arise from relying on a single data point or perspective.

Using multiple sources creates a richer dataset, which can uncover inconsistencies or different facets of the subject matter. For example, combining qualitative interviews with quantitative survey responses allows evaluators to see the "why" behind the numbers, providing context that strengthens the overall conclusions drawn from the evaluation. This method enhances the overall validity of the findings and offers stakeholders a clearer, more nuanced picture of the evaluation's focus.