What does a mixed-methods approach in evaluation involve?

A mixed-methods approach in evaluation involves combining both qualitative and quantitative research methods to gain a comprehensive understanding of a program. This approach recognizes that different types of data can enrich the evaluation process and provide a more nuanced perspective on the program being assessed.

Qualitative methods, such as interviews and focus groups, allow evaluators to explore the perspectives, experiences, and context of program participants. These methods provide depth and detail, illuminating the 'why' and 'how' behind program outcomes. On the other hand, quantitative methods, like surveys and statistical analysis, offer measurable data that can identify trends, correlations, and outcomes in a systematic way.

By integrating these two approaches, evaluators can triangulate findings, which enhances the validity and reliability of the evaluation results. This comprehensive understanding is crucial for making informed decisions about program improvement, scalability, and overall impact.

In contrast to other approaches, a mixed-methods strategy does not limit itself to just one form of data collection and analysis, nor does it focus solely on interviewer perspectives or quantifiable outcomes. Instead, it leverages the strengths of both qualitative and quantitative methods to provide a richer and more holistic view of the program's effectiveness. This results in a more balanced evaluation that can address complex social issues effectively.