Which types of data are commonly used in evaluations?

The selection of both qualitative and quantitative data in evaluations is essential because each type of data provides valuable insights that enhance understanding and inform decision-making. Qualitative data, which includes descriptive information such as interviews, focus groups, and open-ended survey responses, offers depth and context, revealing participants' thoughts, feelings, and experiences. This type of data is instrumental in understanding the nuances of a program or intervention.

On the other hand, quantitative data consists of numerical information that can be measured and analyzed statistically. This includes surveys with closed-ended questions, metrics, and other numerical data points, helping evaluators to identify trends, measure outcomes, and assess the effectiveness of interventions with objective numbers.

Utilizing both types provides a more comprehensive evaluation by combining the strengths of qualitative data's depth and emotional insight with the reliability and generalizability of quantitative data. This mixed methods approach enriches the evaluation process, allowing for a more robust analysis that supports well-rounded conclusions and recommendations.

In contrast, relying solely on qualitative or quantitative data would limit the evaluation's effectiveness and the richness of the insights gained.