Quantitative Methods in Comparative Education and Other Disciplines: are they valid?

Authors

  • Steven J. Klees University of Maryland (UMD), College Park/MD

Keywords:

Comparative Education. Research Methods. Regression Analysis. Causal Inference.

Abstract

Comparison is the essence of science and the field of comparative and international education, like many of the social sciences, has been dominated by quantitative methodological approaches. This paper raises fundamental questions about the utility of regression analysis for causal inference. It examines three extensive literatures of applied regression analysis concerned with education policies. The paper concludes that the conditions necessary for regression analysis to yield valid causal inferences are so far from ever being met or approximated that such inferences are never valid. Alternative research methodologies are then briefly discussed.

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Author Biography

Steven J. Klees, University of Maryland (UMD), College Park/MD

Steven J. Klees is Professor of International Education Policy at the University of Maryland. He did his Ph.D. at Stanford University and has taught at Cornell University, Stanford University, Florida State University, and the Federal University of Rio Grande do Norte in Brazil. He was a Fulbright Scholar on two occasions at the Federal University of Bahia in Brazil. Prof. Klees’ work examines the political economy of education and development with specific research interests in globalization, neoliberalism, and education.

Published

2017-06-16

How to Cite

Klees, S. J. (2017). Quantitative Methods in Comparative Education and Other Disciplines: are they valid?. Educação & Realidade [Education & Reality], 42(3). Retrieved from https://seer.ufrgs.br/index.php/educacaoerealidade/article/view/64816

Issue

Section

Methods of Comparative Education

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