Measuring Knowledge and Learning

41 Pages Posted: 2 May 2022 Last revised: 11 Dec 2024

See all articles by James J. Heckman

James J. Heckman

University of Chicago - Department of Economics; National Bureau of Economic Research (NBER); American Bar Foundation; Institute for the Study of Labor (IZA); CESifo (Center for Economic Studies and Ifo Institute)

Jin Zhou

University of Chicago

Multiple version iconThere are 3 versions of this paper

Date Written: April 2022

Abstract

Empirical studies in the economics of education, the measurement of skill gaps, the impacts of interventions on skill formation, and the value-added literature rely on psychometrically validated test scores. Test scores are taken as measures of an invariant scale of human capital compared over time and people. We examine if conventional skill measures are comparable on mastery of specific task knowledge. An unusually rich dataset from an early childhood intervention is used to test the assumption of scale invariance. We reject the scale invariance hypothesis for multiple skills and cast doubt on the uncritical use of test scores in research.

Suggested Citation

Heckman, James J. and Zhou, Jin, Measuring Knowledge and Learning (April 2022). NBER Working Paper No. w29990, Available at SSRN: https://ssrn.com/abstract=4098311

James J. Heckman (Contact Author)

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Jin Zhou

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