Introduction to Qualitative Methods B
Course Code: PUBLG004B
Course Tutor: Dr Cathy Elliott (Department of Political Science)
Assessment: One 3,000 word research design paper
Credit Value: 15
About this course
This course is designed to introduce you to and help you become familiar with data science which is critical to your development as a social scientist. The introductory course has two primary aims. First, students will be introduced to statistical models that researchers and policymakers use in answering social, political and economic questions. Second, the course will equip students to use one or more of the discussed techniques in their MSc dissertation.
By the end of the course, students should be able to understand the quantitative tools employed in political, social, and economic research; to perform data analysis using statistical software R and interpret results; and to fruitfully employ data science techniques in their dissertation research and in subsequent careers.
This module (or the Advanced Quantitative Methods module) is required of all students pursuing an MSc from the School of Public Policy, including degrees in Democracy and Democratisation, European Public Policy, Global Governance and Ethics, International Public Policy, Public Policy, and Security Studies.
The assessment for this course is a multiple choice midterm exam and an eight-hour prior disclosure exam which will be completed in the last week of the term.
The main textbook for the module is
- Stock, James H., and Mark W. Watson. 2014. Introduction to Econometrics. London: Pearson.
Before you take this module
You should complete the following:
- Data Camp R tutorials https://www.datacamp.com/courses/free-introduction-to-r
- Codeschool: http://tryr.codeschool.com/
- An Introduction to R, available from http://cran.r-project.org/doc/manuals/R-intro.pdf
- Kellstedt, Paul M. and Guy D. Whitten (2013). The Fundamentals of Political Science Research, 2nd edition, Cambridge University Press, Chapters 5-11. If you haven’t had any quantitative methods (statistics or econometrics) training in your undergraduate studies, you should go through these chapters as necessary background material for the module. You can also treat it as a refresher of basic statistics if you’ve done it previously.
- If you find the above listed R tutorials and statistical material in Kellstedt & Whitten (chapters 5-11) intuitive, we suggest you move to Joseph Adler’s R in a Nutshell textbook available here:http://web.udl.es/Biomath/Bioestadistica/R/Manuals/r_in_a_nutshell.pdf
You should also download and install the latest version of RStudio (http://www.rstudio.com) and R (https://cran.r-project.org) on your computer.
*Please note that this module is only available to SPP students. Students taking this course are not permitted to take PUBLG105 Advanced Qualitative Methods.