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

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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of policy analysis and management 1997-10, Vol.16 (4), p.621-629
Main Author: Vijverberg, Wim P. M.
Format: Article
Language:English
Subjects:
Curricula
Curriculum and Case Notes
Econometrics
Economic statistics
Economic theory
Graduate students
Graduate studies
Periodicals
Political economy
Political science
Public administration
Quantitative statistical methods
Research methods
Social sciences
Statistical analysis
Students
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0276-8739
1520-6688
DOI:10.1002/(SICI)1520-6688(199723)16:4<621::AID-PAM7>3.0.CO;2-I