In which scenario would qualitative data be preferred over quantitative data?

Qualitative data is particularly preferred when exploring participant experiences in a program because it allows researchers to gain deep insights into individuals' thoughts, feelings, and behaviors. This type of data focuses on understanding the nuances and complexities of human experiences, which can be conveyed through interviews, open-ended surveys, or focus groups.

When studying participant experiences, qualitative data can illuminate how individuals perceive and interpret their experiences, revealing themes and patterns that may not be captured through numerical data. It provides the richness and detail that is often necessary to fully understand the subjective aspects of program engagement, such as emotional well-being, satisfaction, and personal challenges faced by participants.

In contrast, the other scenarios involve more specific measurements or assessments that benefit from quantitative data, which is grounded in numerical analysis and statistical evaluation. By opting for qualitative data in this context, researchers can develop a comprehensive understanding of participant experiences that quantitative metrics alone could overlook.