Teacher Value-Added Metrics in High- and Low-Poverty Schools

Tim R. Sass authored a dataset on the value added of teachers across different school poverty levels. The dataset is hosted on the Papers with Code platform, which aggregates resources for AI/ML practitioners. Its specific content, size, and temporal coverage are not detailed in the available metadata.

Use Cases

• Modeling the relationship between teacher value-added scores and school poverty levels (inferred from domain, verify after download)
• Analyzing educational inequality and resource allocation across school districts (inferred from domain, verify after download)
• Benchmarking econometric or statistical models for causal inference in education (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform, which aggregates datasets for AI/ML research.
• Authored by a named researcher, Tim R. Sass.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation and sample data are unavailable.
• Row count, file format, and last update date are unknown.

Provenance

Source

Tim R. Sass