MSFS-527 Analytical and Statistical Skills
Spring for 2015-2016
This course is designed as an introduction to the use of quantitative methods for graduate students. The progression of this course includes the theory and rubric of scientific research designs and the practice in generating, interpreting, and ultimately employing quantitative methods to critically assess empirical works as well as informing one’s own research questions. The goals of this course are to develop statistical literacy coupled with analytical and research abilities. We will cover topics such as descriptive statistics, including measures of central tendency, dispersion, and association; inferential statistics, including probability theory, Normal distributions, and statistical significance; and OLS regression, including the use of dummy variables, interactions, factor analysis, and extensions to regression for categorical and limited dependent variables. The course is designed to enable students to critically assess and contribute to a broad range of quantitative work in the policy setting (e.g. risk assessment, policy analysis), applied fields (e.g. development, political organization), and applied theoretical work in international affairs (e.g. academic and professional works such as Foreign Affairs). The course will include weekly exercises in the discussed analytical techniques (including independent lab work) and three policy papers that include presentations. It will include a final exam and a participation evaluation.
Credits: 3
Prerequisites: None
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