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Research trends in gender differences in higher education and science: a co-word analysis

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  • Tahereh Dehdarirad

    (University of Barcelona)

  • Anna Villarroya

    (University of Barcelona)

  • Maite Barrios

    (University of Barcelona)

Abstract

The aim of this study is to map and analyze the structure and evolution of the scientific literature on gender differences in higher education and science, focusing on factors related to differences between 1991 and 2012. Co-word analysis was applied to identify the main concepts addressed in this research field. Hierarchical cluster analysis was used to cluster the keywords and a strategic diagram was created to analyze trends. The data set comprised a corpus containing 652 articles and reviews published between 1991 and 2012, extracted from the Thomson Reuters Web of Science database. In order to see how the results changed over time, documents were grouped into three different periods: 1991–2001, 2002–2007, and 2008–2012. The results showed that the number of themes has increased significantly over the years and that gender differences in higher education and science have been considered by specific research disciplines, suggesting important research-field-specific variations. Overall, the study helps to identify the major research topics in this domain, as well as highlighting issues to be addressed or strengthened in further work.

Suggested Citation

  • Tahereh Dehdarirad & Anna Villarroya & Maite Barrios, 2014. "Research trends in gender differences in higher education and science: a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 273-290, October.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:1:d:10.1007_s11192-014-1327-2
    DOI: 10.1007/s11192-014-1327-2
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    1. Susan Washburn Taylor & Blakely Fox Fender & Kimberly Gladden Burke, 2006. "Unraveling the Academic Productivity of Economists: The Opportunity Costs of Teaching and Service," Southern Economic Journal, John Wiley & Sons, vol. 72(4), pages 846-859, April.
    2. Christine Wennerås & Agnes Wold, 1997. "Nepotism and sexism in peer-review," Nature, Nature, vol. 387(6631), pages 341-343, May.
    3. Jacqueline Leta & Grant Lewison, 2003. "The contribution of women in Brazilian science: A case study in astronomy, immunology and oceanography," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 339-353, July.
    4. Natalia Zinovyeva & Manuel F. Bagues, 2010. "Does gender matter for academic promotion? Evidence from a randomized natural experiment," Working Papers 2010-15, FEDEA.
    5. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    6. Richard B. Freeman & Daniel Goroff, 2009. "Science and Engineering Careers in the United States: An Analysis of Markets and Employment," NBER Books, National Bureau of Economic Research, Inc, number free09-1.
    7. Donna K. Ginther & Shulamit Kahn, 2009. "Does Science Promote Women? Evidence from Academia 1973-2001," NBER Chapters, in: Science and Engineering Careers in the United States: An Analysis of Markets and Employment, pages 163-194, National Bureau of Economic Research, Inc.
    8. Zhong-Yi Wang & Gang Li & Chun-Ya Li & Ang Li, 2012. "Research on the semantic-based co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 855-875, March.
    9. Helen Shen, 2013. "Inequality quantified: Mind the gender gap," Nature, Nature, vol. 495(7439), pages 22-24, March.
    10. Matthew RE Symonds & Neil J Gemmell & Tamsin L Braisher & Kylie L Gorringe & Mark A Elgar, 2006. "Gender Differences in Publication Output: Towards an Unbiased Metric of Research Performance," PLOS ONE, Public Library of Science, vol. 1(1), pages 1-5, December.
    11. Freeman, Richard B. & Goroff, Daniel L (ed.), 2009. "Science and Engineering Careers in the United States," National Bureau of Economic Research Books, University of Chicago Press, number 9780226261898, October.
    12. Katarina Prpić, 2002. "Gender and productivity differentials in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 27-58, September.
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