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Teachers and Students' Postsecondary Outcomes: Testing the Predictive Power of Test and Nontest Teacher Quality Measures. Working Paper No. 270-1022

Authors :
National Center for Analysis of Longitudinal Data in Education Research (CALDER) at American Institutes for Research
Backes, Ben
Cowan, James
Goldhaber, Dan
Theobald, Roddy
Source :
National Center for Analysis of Longitudinal Data in Education Research (CALDER). 2022.
Publication Year :
2022

Abstract

We examine how different measures of teacher quality are related to students' long-run trajectories. Comparing teachers' "test-based" value-added to "nontest" value-added -- based on contributions to student absences and grades -- we find that test and nontest value-added have similar effects on the average quality of colleges that students attend. However, 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 graduate from high school and 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 :
ED625574
Document Type :
Reports - Research