Use statistical adjustment to separate school effects from family resources and prior learning when rating schools¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The report describes a strategy in which a state education agency, here the Louisiana Department of Education working with Mathematica, uses a statistical model on administrative data to estimate each school's contribution to long-term student success. This enables the state to "identify its high schools’ contributions to students’ long-term success separately from other factors, such as family resources and students’ learning before high school."

Design Implications¶

Context¶

Requirements¶

• Partnership between the state education agency and an analytical team
• Access to statewide longitudinal student outcome data

Constraints¶

• Applied to public high schools in Louisiana

Target Learners¶

• Public high school students

Target Learning Goals¶

• Accurate assessment of school effectiveness for long-term outcomes

Related Strategies¶

Examples¶

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Key Sources¶

• Jonah Deutsch, Matthew Johnson, Brian Gill. (2020). The Promotion Power Impacts of Louisiana High Schools. Mathematica. https://www.mathematica.org/publications/the-promotion-power-impacts-of-louisiana-high-schools