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What happens when econometrics and psychometrics collide? An example using the PISA data Jerrim, John López-Agudo, Luis Alejandro Marcenaro-Gutiérrez, Óscar David Shure, Nikki Educación - Modelos econométricos Psicometría Evaluación de la calidad educativa International large-scale assessments such as PISA are increasingly being used to benchmark the academic performance of young people across the world. Yet many of the technicalities underpinning these datasets are misunderstood by applied researchers, who sometimes fail to take their complex sample and test designs into account. The aim of this paper is to generate a better understanding among economists about how such databases are created, and what this implies for the empirical methodologies one should (or should not) apply. We explain how some of the modeling strategies preferred by economists seem to be at odds with the complex test design, and provide clear advice on the types of robustness tests that are therefore needed when analyzing these datasets. In doing so, we hope to generate a better understanding of international large-scale education databases, and promote better practice in their use. 2025-07-17T07:26:44Z 2025-07-17T07:26:44Z 2025-07-17T07:26:44Z 2017-09-28 journal article John Jerrim, Luis Alejandro Lopez-Agudo, Oscar D. Marcenaro-Gutierrez, Nikki Shure, What happens when econometrics and psychometrics collide? An example using the PISA data, Economics of Education Review, Volume 61, 2017, Pages 51-58. https://hdl.handle.net/10630/39378 10.1016/j.econedurev.2017.09.007 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier