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The quantitative methods component in social sciences curricula in view of journal content
Author(s) -
Vijverberg Wim P. M.
Publication year - 1997
Publication title -
journal of policy analysis and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.898
H-Index - 84
eISSN - 1520-6688
pISSN - 0276-8739
DOI - 10.1002/(sici)1520-6688(199723)16:4<621::aid-pam7>3.0.co;2-i
Subject(s) - dimension (graph theory) , quantitative analysis (chemistry) , curriculum , social science , content analysis , perspective (graphical) , sociology , computer science , pedagogy , mathematics , chemistry , chromatography , artificial intelligence , pure mathematics
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.