PS944-15 Political Psychology
Introductory description
This module covers core concepts in political psychology with particular reference to principles of behavioural and economic science.
Module aims
This module will provide students on the MSc in Behavioural and Economic Science and Behavioural Data Science with a broad understanding of current research within political psychology. Students will be given the ability to:
- understand and evaluate mathematical and computational models within political science and political psychology
- understand and critically evaluate experimental studies in political psychology
- answer simple questions using publicly available data sets in the area of political psychology
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The module will cover areas such as representations of political ideology in different disciplines; the psychological differences between conservatives and liberals; mapping and measuring the multi-dimensional ideological space, behavioural models and voting behaviour, social identify and preferences, inequality and economic and political behaviour, values, and culture in politics, the role of social media, and models of political persuasion and attitude change
Learning outcomes
By the end of the module, students should be able to:
- Understand the history of, and different methodological approaches within, political psychology as relevant to Behavioural Science
- Comprehend and critically evaluate experimental studies in political psychology
- Interrogate datasets on political attitudes
- Comprehend and critique mathematical and computational models of important phenomena within political psychology.
Subject specific skills
Ability to articulate differences between approaches to both theory and
experimentation in economics, psychology, and political science
Ability to understand and explain core theoretical concepts, specific models, and experimental paradigms within political psychology
Ability to apply insights from behavioural and economic science to understanding of political issues.
Transferable skills
Critical evaluation
Data analysis skills
Effective personal planning skills
Study time
| Type | Required |
|---|---|
| Lectures | 8 sessions of 2 hours (11%) |
| Seminars | 3 sessions of 2 hours (4%) |
| Tutorials | (0%) |
| Practical classes | 2 sessions of 2 hours (3%) |
| Private study | 37 hours (25%) |
| Assessment | 87 hours (58%) |
| Total | 150 hours |
Private study description
Self-directed study related to seminar preparation, class studies and
background reading
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Class Test 1 | 12% | 8 hours | No |
|
In-class test with mixture of multiple choice and short answer questions |
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Reassessment component is the same |
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Assessment component |
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| Class Test 2 | 12% | 8 hours | No |
|
In-class test with mixture of multiple choice and short answer questions |
|||
Reassessment component is the same |
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Assessment component |
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| Class Test 3 | 12% | 8 hours | No |
|
In-class test with mixture of multiple choice and short answer questions |
|||
Reassessment component is the same |
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Assessment component |
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| Class Test 4 | 12% | 8 hours | No |
|
In-class test with mixture of multiple choice and short answer questions |
|||
Reassessment component is the same |
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Assessment component |
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| Small research project | 52% | 55 hours | Yes (extension) |
|
Students will either implement explore and extend a simple computational mathematical model (of their own choosing) within political science or political psychology or will answer a political psychology question of their own choosing using an existing publicly available dataset |
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Reassessment component is the same |
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Feedback on assessment
Mark + written qualitative feedback + individual short meeting if requested
Pre-requisites
None
Courses
This module is Core optional for:
- Year 1 of TPSS-C803 Postgraduate Taught Behavioural and Data Science
- Year 1 of TPSS-C8P7 Postgraduate Taught Behavioural and Economic Science (Science Track)