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Research Methodology

  • Subject Number : 920.701
  • Full credits: 3-3-0
  • The main theme of this course is to explore the theoretical foundation of research methodology for designing good policy inquiry. Especially the course attempts to bring in a lens to view various current research approaches as a continuum rather than as disjoint ones, and to emphasize the need of shared standards with diverse techniques to develop persuasive evidence. In doing so, it tries to introduce several selected themes in the philosophy of science, the debates between qualitative and quantitative research methods, and the logic of research design that are crucial in enhancing the research capability.

Qualitative Research Methods for Social Sciences

  • Subject Number : 920.702
  • Full credits: 3-3-0
  • This course, in several levels both theoretical and methodological in purpose. The course explores main interpretative approaches such as phenomenology, heumeutics, postmodernism, and critical theory with an emphasis on public issues. In this seminar, class participants will become familiar with the issues involved in collection and analysis of data using qualitative techniques. These include research designing, in-depth interviewing, participatory observation, ethonographic methode, text analsysis and a small-N comparative analysis. As the course objective, students are supposed to understand the differences between quantitative methold and qualitative method and to be able to use, at least, one of research techniques.

Topics in Public Administration and Policy

  • Subject Number : ★920.703
  • Full credits: 3-3-0
  • This course is offered to students who want to deal with various public issues. The objective of this course is to develop the ability to analyze various issues in public administration and public policy.

Advanced Quantitative Study 1

  • Subject Number : 920.739
  • Full credits: 3-2-2
  • In this course, we discuss the theoretical reasoning of a variety of regression models. Topics in the course include model specification, data problem, instrumental variables, heteroscedasticity, autocorrelation, simultaneous equations models, and panel data.

Advanced Quantitative Study 2

  • Subject Number : 920.767
  • Full credits: 3-2-2
  • This course provides students with advanced knowledge and skill related to statistical methods and computer packages. It covers advanced level of multivariate analysis topics such as regression, instrumental variable, simultaneous equation model, logistic regression, analysis of variance, factor analysis, cluster analysis and so on. Students build application ability by exercising real data analysis with computer package.

Reading and Research

  • Subject Number : 920.803
  • Full credits: 3-3-0
  • This course is offered to graduate students preparing theses. Students review and discuss special problems in research projects.


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