POLS 3600 – RESEARCH METHODS IN POLITICAL SCIENCE
This course will help students learn how to carry out research and write papers in political science. Topics include the scientific method, research design, data sources, data manipulation, statistics, and quantitative and qualitative research. The course introduces appropriate formats for papers in the discipline and reinforces writing skills. The purpose of this class is to make students familiar with the basic research techniques employed by political scientists as well as many other social science disciplines. In this class, students will learn how to analyze a variety of quantitative data, prepare graphs and tables to summarize data, and how to utilize and interpret basic statistical techniques, including ordinary least squares regression. Students will be expected to complete an original, professional research paper including quantitative analysis.
Syllabus:POLS 3600 Research Methods Fall 2021
POLS 4370 – POLITICS OF IDENTITY IN AMERICAN LAW AND COURTS
This seminar course offers an examination on the roles of identities in American judicial systems. The course will cover the major institutions, actors, and processes that comprise the American legal system from a social science perspective, including: judicial process; judicial decision-making and judge behavior; state and federal court structures; selection and tenure of judges; separation of powers; and impact of judicial decisions. Law is reflective of society and yet simultaneously institutionalizes and perpetuates systemic structures of identity(s), as well as ideologies pertaining to inclusion/exclusion, citizenship, (in)equality, legal personhood, and human rights. This course thus offers a survey on the role of identities in law and courts in two main areas: 1) legal and political histories illustrating the dynamic interactions between law, courts, and politics, and 2) empirical realities of how identities impact judicial processes and decision-making.
POLS 5300 –SEMINAR IN QUANTITATIVE RESEARCH METHODS I
This course further explores methods of quantitative analysis and hypothesis testing, including data management, various regression estimation methods, diagnostic techniques, and other topics. In this class, students will learn how to analyze a variety of quantitative data and are expected to complete an original, conference-worthy research paper. We will focus upon OLS regression, Gauss-Markov assumptions, and appropriate diagnostic tools. We will be working primarily with STATA, although students may use R upon personal preference.