Assessing Licensure Test Performance and Predictive Validity for Different Teacher Subgroups

Author:

Cowan James1ORCID,Goldhaber Dan2ORCID,Jin Zeyu3,Theobald Roddy3ORCID

Affiliation:

1. American Institutes for Research, Arlington, VA

2. American Institutes for Research, University of Washington

3. American Institutes for Research, Seattle, WA

Abstract

We investigate the predictive validity of teacher licensure tests using data from the Massachusetts Tests for Educator Licensure (MTEL). MTEL scores predict teachers’ in-service performance ratings and contributions to student test scores (i.e., value added). We then explore whether these relationships vary for teacher candidates of color. Although candidates of color have lower first-time pass rates and are less likely to retake licensure tests, we do not find consistent evidence that MTEL scores are less predictive of student achievement gains. Finally, we find that some evidence that MTEL scores are more predictive of teacher performance ratings for teachers of color than for White teachers.

Funder

Institute of Education Sciences

National Center for the Analysis of Longitudinal Data in Education Research

Publisher

American Educational Research Association (AERA)

Subject

Education

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