Jerrim, J;
Lopez-Agudo, LA;
Marcenaro-Gutierrez, OD;
Shure, N;
(2017)
What happens when econometrics and psychometrics collide? An example using the PISA data.
Economics of Education Review
, 61
pp. 51-58.
10.1016/j.econedurev.2017.09.007.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | What happens when econometrics and psychometrics collide? An example using the PISA data |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.econedurev.2017.09.007 |
| Publisher version: | https://doi.org/10.1016/j.econedurev.2017.09.007 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Sample design, Test design, PISA, Weights, Replicate weights, Plausible values |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Social Research Institute |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1575646 |
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