Qualitative vs. Quantitative Data

• Qualitative Data: Descriptive and rich information that answers the ‘how’ and ‘why’ of a program.
• Typically collected from a smaller sample size, making it less generalizable but more insightful.
• Methods include individual interviews, focus groups, and observations.
• Qualitative questions are open-ended, allowing for deeper exploration of participant experiences.
• Useful for understanding participant enjoyment and self-esteem impacts from the program.
• Provides context and depth to the evaluation findings.

Quantitative Data Collection

• Quantitative Data: Numeric data that can be statistically analyzed to measure program effectiveness.
• Often collected through surveys and standardized tests, providing objective results.
• Useful for measuring specific outcomes, such as attendance rates and health improvements.
• Allows for comparison across different programs or populations.
• Quantitative data can validate qualitative findings, providing a comprehensive view of program impact.
• Essential for demonstrating program value to stakeholders and funding agencies.