What data sources should a school counselor use to measure program impact, and how should data be interpreted?

• A. Anecdotal reports and teacher impressions only.
• B. Attendance, grades, discipline, course progression, test scores, college/career readiness metrics, climate surveys; interpret trends, compare to benchmarks, disaggregate by subgroup; interpret with caution.
• C. Only test scores.
• D. Data are not needed.

Answer: (B)

Measuring program impact requires looking at a range of data that captures academic, behavioral, and college/career readiness outcomes, and then interpreting what those data tell you in context. A counselor should draw from multiple sources—attendance, grades, discipline records, course progression, test scores, college/career readiness metrics, and climate surveys—so the picture isn’t based on a single measure. This broad set helps show how a program affects students across different facets of school life.

Interpreting these data involves identifying trends over time and comparing them to benchmarks or targets, while also breaking results down by subgroup to see whether effects differ across student groups. It’s important to consider data quality and potential confounding factors, and to look at how faithfully the program was implemented. Triangulating quantitative results with qualitative feedback from students, families, and staff adds depth and helps explain why patterns occur. This approach supports thoughtful adjustments and ongoing improvement rather than making hasty conclusions.

Relying only on anecdotal reports or teacher impressions can be biased and incomplete, because a narrow perspective may miss broader trends. Focusing solely on test scores ignores behavioral, climate, and equity factors. Saying data aren’t needed runs against evidence-based practice and accountability standards.