Component

MA Public Opinion and Political Behaviour
MRes Political Science (MRES) options

Year 1, Component 03

GV950-7-SP or GV953-7-SP
GV950-7-SP
Introduction to Quantitative Methods and Data Analysis II
(15 CREDITS)

This module starts with a refresher on linear regression before delving into more advanced methods, both theoretically and practically. You will start with the assumptions that go into linear regressions, learning to analyse whether each assumption holds and considering how our results are impacted when they do not. The remainder of the module will focus on more advanced statistical methods with a focus on two broad categories. The first will be models for analysing non-continuous dependent variables, including binary, categorical and ordinal dependent variables. You will also spend some time looking at causal inference methods and analysis, using both observational and experimental data.

GV953-7-SP
Advanced Quantitative Methods
(15 CREDITS)

This module presents advanced quantitative methods for political science based on maximum likelihood estimation (MLE), with a particular focus on the generalised linear model (GLM). After introducing the principles of MLE, models for different kinds of outcome distributions, such as binary, ordinal, categorical, count, and event history data, are considered. This module also introduces some advanced methods beyond the GLM. All models and methods are approached substantively, mathematically, and computationally (using R), with applications to political science research questions. Throughout the module, you will also familiarise yourself with the interpretation and presentation of empirical evidence in political science. The module will be particularly useful for you if you aim to pursue a career in academia or in research-intensive environments, for example think tanks, research-related government posts, data science, or survey analytics.

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