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How to Measure a Teacher: The Influence of Test and Nontest Value-Added on Long-Run Student Outcomes. Working Paper No. 270-0423-2

Authors :
National Center for Analysis of Longitudinal Data in Education Research (CALDER) at American Institutes for Research (AIR)
Backes, Ben
Cowan, James
Goldhaber, Dan
Theobald, Roddy
Source :
National Center for Analysis of Longitudinal Data in Education Research (CALDER). 2023.
Publication Year :
2023

Abstract

This paper examines how different measures of teacher quality are related to students' long-run educational trajectories. We estimate teachers' "test-based" and "nontest" value-added (the latter based on contributions to student absences, suspensions, grade progression, and grades) and assess how these predict various student postsecondary outcomes. We find that both types of value-added have positive effects on student outcomes. Test-based teacher quality measures have more explanatory power for outcomes relevant for students at the top of the achievement distribution, such as attending a more selective college, while nontest measures have more explanatory power for whether students enroll in college at all.

Details

Language :
English
Database :
ERIC
Journal :
National Center for Analysis of Longitudinal Data in Education Research (CALDER)
Publication Type :
Report
Accession number :
ED628004
Document Type :
Reports - Research<br />Numerical/Quantitative Data