LA INCAPACIDAD DEL BIG DATA DE ESCAPAR DE LAS LIMITACIONES DE LA EVALUACIÓN DE IMPACTO

Brent Edwards*

*この研究の対応する著者

研究成果: Review article査読

抄録

This article analyzes the methods used to carry out "impact evaluations", a type of research that supposedly can determine the effect of a policy or program on educational results. Thanks to the increased compilation of data on students and schools in the field of education, these methods have become ever more popular, in spite of their serious limitations. The study addresses the deficiencies of the two most common focuses of impact evaluations: Regression analysis and random experiments (Randomized Controlled Trials, or RCT). The observation is that although large amounts of data and the methods of impact evaluation can be useful inputs for policy discussions, it is important to understand their limits.

本文言語Spanish
ページ(範囲)871-878
ページ数8
ジャーナルRevista Mexicana de Investigacion Educativa
24
82
出版ステータスPublished - 2019
外部発表はい

ASJC Scopus subject areas

  • 教育

引用スタイル