Gender gaps in Mathematics and Language: The bias of competitive achievement tests

This research paper examines the extent to which high-stakes competitive tests affect gender gaps in standardized tests of Mathematics and Language. To this end, we estimate models that predict students’ results in two national standardized tests: a test that does not affect students’ educational tr...

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Bibliographic Details
Main Authors: Oscar Arias, Catalina Canals, Alejandra Mizala, Francisco Meneses
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032501/?tool=EBI