What data strategy is recommended to support reporting inconsistent performance?

• A. Discard qualitative observations
• B. Collect only quantitative scores
• C. Triangulate with multiple data sources
• D. Rely on a single data source

Answer: (C)

When performance is inconsistent, use triangulation by pulling together information from multiple data sources and methods. This approach cross-checks findings and helps you see patterns that a single measure might miss, giving a fuller picture of the student’s abilities and the factors affecting performance across different tasks and settings. For example, combine formal assessments with classroom observations, work samples, and even student interviews over time to understand where and why performance varies. This leads to more accurate and fair decisions about supports and interventions. Discarding qualitative observations removes essential context; collecting only quantitative scores overlooks meaningful nuances; relying on a single data source increases the risk that a fluctuation in one measure distorts the overall understanding.