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Measuring teacher non-cognitive skills and its impact on students: Insight from the Measures of Effective Teaching Longitudinal Database
ARTICLE

, Program on Education Policy and Governance, United States ; , University of Arkansas, United States

Economics of Education Review Volume 64, Number 1, ISSN 0272-7757 Publisher: Elsevier Ltd

Abstract

Despite research showing labor-market returns to non-cognitive skills, we lack research on how teachers’ noncognitive skills relate to other available measures of teacher quality and student outcomes because datasets typically do not contain explicit measures of these skills. We overcome this limitation by validating several performance-task measures of teacher conscientiousness based upon the effort that teachers exert while completing a survey. We conduct our analysis using the Measures of Effective Teaching Longitudinal Database where teachers were randomly assigned to their classrooms in the second year of the study. We overcome issues of non-compliance by exploiting the random assignment in an instrumental variables approach to estimate the causal impacts of teachers on their students’ outcomes during the second year of the MET project. We find suggestive evidence that measures of teacher survey effort capture important dimensions of teacher quality. These measures present small but significant correlations with classroom-observation measures and principal ratings of teacher quality and are predictive of student cognitive and non-cognitive outcomes. Moreover, survey-effort measures capture teacher effects on students that are not necessarily captured by other available measures of teacher quality.

Citation

Cheng, A. & Zamarro, G. (2018). Measuring teacher non-cognitive skills and its impact on students: Insight from the Measures of Effective Teaching Longitudinal Database. Economics of Education Review, 64(1), 251-260. Elsevier Ltd. Retrieved June 6, 2020 from .

This record was imported from Economics of Education Review on March 1, 2019. Economics of Education Review is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.econedurev.2018.03.001

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