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The quantitative methods component in social sciences curricula in view of journal content

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  • Wim P. M. Vijverberg

    (Department of Economics and Political Economy, University Texas at Dallas, Dallas, Texas)

Abstract

What level of quantitative methods (or applied statistical analysis) should graduate students in the social sciences be prepared to master, if they are to be competitive in the job market? In the age of information technology, more data, in survey or other form, about any imaginable topic exist than ever before. Empirical analysis on the basis of more advanced quantitative methods becomes more common. This study takes the perspective that graduate students in the social sciences must be prepared to read a literature that makes extensive use of quantitative methods. To quantify this dimension of the literature, top journals in economics, political science, public administration, and sociology are examined for their quantitative complexity.

Suggested Citation

  • Wim P. M. Vijverberg, 1997. "The quantitative methods component in social sciences curricula in view of journal content," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 16(4), pages 621-629.
    • Handle: RePEc:wly:jpamgt:v:16:y:1997:i:4:p:621-629
    DOI: 10.1002/(SICI)1520-6688(199723)16:4<621::AID-PAM7>3.0.CO;2-I
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    References listed on IDEAS

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    1. Hansen, W Lee, 1991. "The Education and Training of Economics Doctorates: Major Findings of the Executive Secretary of the American Economic Association's Commission on Graduate Education in Economics," Journal of Economic Literature, American Economic Association, vol. 29(3), pages 1054-1087, September.
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