Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
Elections and voting are key components of the democratic political process. Opinion polling and other research on public opinion forms the basis of our understanding of electoral trends, is used by governments and political parties to develop policy and strategy, and features in everyday commentary on politics in the media. Understanding elections, voters and public opinion is therefore central to our understanding contemporary politics. This module engages students in the study of elections, voters and public opinion. In doing so students will develop their knowledge of psephological trends, alongside key skills in the practicalities of designing, conducting and analysing quantitative political research. These skills are developed during a series of interactive workshops alongside traditional lectures.
Aims
To equip students with the core skills needed to evaluate aspects of and carry out basic quantitative political research. This includes developing research questions to test theories and hypotheses, designing survey-based political research and working with quantitative political data, including constructing and reading appropriate data tables and graphs, and interpreting descriptive statistics. This is achieved through engaging students in basic psephology and focusing how quantitative research can be used to understand elections, voters and public opinion.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/pir-20089/lists
Intended Learning Outcomes
Demonstrate knowledge of core concepts in psephology, including theories of voter behaviour: 1Produce and evaluate descriptive and explanatory research questions relating to the study of politics: 2Operationalise and develop indicators for political concepts: 2Design questionnaires and demonstrate awareness of good practice in questionnaire design and survey administration: 2Produce and interpret tables and graphs using basic descriptive statistical techniques and appropriate software: 3
11 hours: 11 x 1 hour lectures11 hours: 11 x 1 hour workshops22 hours: independent preparation time for workshops (2 hours each)42 hours: preparation time for assessment 1 (1,000 word essay)32 hours: preparation time for assessment 2 (questionnaire design)32 hours: preparation time for assessment 3 (750 word data analysis report)
Description of Module Assessment
1: Essay weighted 40%1,000 word essay
2: Research Proposal weighted 30%Questionnaire design
3: Report weighted 30%750 word data analysis report