Enhancements    

LONGITUDINAL DATA FOR EDUCATION POLICY RESEARCH: UNDERSTANDING SCIENCE AND MATH TEACHER LABOR MARKET PIPELINES

LONGITUDINAL DATA FOR EDUCATION POLICY RESEARCH: UNDERSTANDING SCIENCE AND MATH TEACHER LABOR MARKET PIPELINES
PI: David Knight
Co-PI: Sara Grineski, Tom Fullerton, Thomas Fullerton
Sponsor: NATIONAL SCIENCE FOUNDATION
Center for Education Research and Policy Studies
Amount awarded: $499,875

This project will explore whether regions in Texas are producing enough math and science teachers (MAST) to meet demand; factors leading to MAST attrition including opportunity wages of external labor markets; and whether historically underserved students have equitable access to high-quality MAST. Previous research in this area is limited by the inability to link data on teacher labor markets to external non-teacher labor markets in the private sector. Analyses utilize a statewide longitudinal student-level dataset covering all students in Texas over a 20-year period.

Posting date: Wed, 08/16/2017

Award start date: Fri, 09/01/2017
Award end date: Mon, 08/31/2020