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

Brent Edwards*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageSpanish
Pages (from-to)871-878
Number of pages8
JournalRevista Mexicana de Investigacion Educativa
Volume24
Issue number82
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Data analysis
  • Decision making
  • Educational research
  • Public policies
  • Quantitative method

ASJC Scopus subject areas

  • Education

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