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PI5514: QUANTITATIVE METHODS IN POLITICAL SCIENCE AND INTERNATIONAL RELATIONS (2015-2016)

Last modified: 25 Mar 2016 11:37


Course Overview

This course is a practical introduction to quantitative research methods in political science.  It examines the logic of quantitative social research, including issues of sampling, measure­ment, and statistical in­ference.  Students will use the SPSS for Windows statistical software package and become familiar with a number of different data sets.  Students will develop an understanding of a range of statistical techniques for the manipulation and analysis of political science and interna­tional re­lations data, including multivariate techniques typically used for analysing such data. 

 

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 30 credits (15 ECTS credits)
Campus None. Sustained Study No
Co-ordinators

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Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

To understand political institutions, attitudes, behaviours and policy outcomes requires the application of concepts and theories to factual information about the political world. This course is an introduction to that endeavour and takes the student from the process of data collection, to measurement issues, and finally to analysis and the interpretation of results. It presents a range of quantitative methods and is designed as a practical introduction to research methods in politics and international relations.

Further Information & Notes

For students studying an MRes in Political Studies

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

100% in-course assessment (weekly problem sets, 40%; replication project, 60%).

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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