Teacher Performance and Tenure Decisions Based on Value-Added Estimates

A research dataset likely containing estimates of teacher job performance based on value-added models. The data was used in a study by Dan Goldhaber to explore the potential for using early-career effectiveness estimates to inform teacher tenure decisions. The study found strong evidence that prior year performance estimates predict student achievement.

Use Cases

• Modeling the relationship between teacher value-added estimates and student achievement based on the described research findings.
• Analyzing the stability of teacher effects over their careers as referenced in the description.
• Evaluating the predictive power of early-career performance estimates for tenure decisions as discussed in the study.

Strengths

• Data is associated with a specific, published research study by a named author.
• The description provides clear, testable research findings regarding the predictive relationship between teacher performance and student achievement.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Dan Goldhaber

Collection Method

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Time Range

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Freshness

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Geography

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