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Quantitative Data Analysis

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Staff

In the current state of a highly interconnected global political economy, social scientists are increasingly relying on statistical data to make sense of complex and far-reaching social phenomena. This second semester quantitative methods course provides basic tools for analyzing large statistical datasets and exploring relationships between variables that measure various aspects of social, political, and economic life. Building on theoretical concepts from introductory statistics, this course provides students with hands-on quantitative analysis experience using data drawn from real world social issues/problems. The course uses statistical software, STATA, to explore a variety of techniques including regression analysis methods that have become essential tools not just in social science research but also in other fields such as business, public policy, and public health.

Satisfies a major requirement in Sociology.
Students entering 2012 and after: satisfies Mathematical and Quantitative Thought distribution requirement.
Students entering before 2012: satisfies Social Science distribution requirement.


Prerequisites:

A semester of college-level introductory statistics course in Sociology, Economics, Political Science, Psychology, or Mathematics, such as SOC 260, ECO 105, POL 221, or MAT 341.