In evaluating school counseling programs, which data type provides nuanced insights into experiences and perceptions?

• A. Quantitative
• B. Qualitative
• C. Disaggregated
• D. Process

Answer: (B)

Qualitative data captures depth over breadth, focusing on people’s words, feelings, and interpretations within their real contexts. By using methods like interviews, focus groups, open-ended survey responses, and field notes, evaluators can uncover detailed descriptions and themes about how students and staff actually experience counseling services—their perceptions of usefulness, comfort, barriers, and the meaning they attach to those experiences. This kind of data reveals the why and how behind outcomes, such as why students engage with counseling or how the counselor–student relationship influences willingness to seek help, providing rich insight that numbers alone might miss.

Quantitative data, while valuable for showing how much and how often, tends to summarize experiences with numerical measures and trends, which can overlook nuanced feelings and interpretations. Disaggregated data helps us see differences across groups but is still a numerical lens rather than a descriptive one. Process data tracks implementation steps, fidelity, and activities, focusing on what was done rather than how it felt or why it mattered to participants. In evaluating school counseling programs, qualitative data is the best way to capture those nuanced experiences and perceptions.