Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title POLITICS AND THE BRAIN
Code POLI346
Coordinator Dr L Bernardi
Politics
Luca.Bernardi@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2020-21 Level 6 FHEQ Second Semester 15

Aims

Understand how biological, psychological and health factors might affect citizens’ political perceptions, attitudes and behaviour;

Learn how to make sense of and critically engage with high quality academic research;

Learn how to motivate and generate original empirical hypotheses and test them using quantitative methods;

Learn how to manage, analyse and interpret data from public opinion surveys;

Learn how to write short academic papers that generate and test empirical hypotheses and interpret data in a way that can be used to advise politicians, political parties, or any organisation concerned with psychology / health and political behaviour.


Learning Outcomes

(LO1) Students will be able to navigate key interdisciplinary research in political psychology and in health and political behaviour.

(LO2) Students will be able to critically analyse how citizens perceive politics, develop attitudes, make political decisions, and how biases influence their making sense of politics.

(LO3) Students will be able to use the statistical package SPSS to prepare datasets for data analysis.

(LO4) Students will acquire knowledge of key statistical techniques and be able to apply them to analyse specific relationships between variables.

(LO5) Students will be able to apply notions of statistical inference and generalise findings based on survey data.

(S1) Problem solving skills.

(S2) Numeracy.

(S3) IT skills.

(S4) Organisational skills.

(S5) International awareness.

(S6) Teamwork.

(S7) Communication skills.

(S8) Adaptability.


Syllabus

 

Topics covered during the module may include:

Introduction to the module;

Biology;

Personality;

Ideology;

Emotion;

Negativity;

Biases and heuristics;

Health;

Mental health;

Health and representation.


Teaching and Learning Strategies

Teaching method 1 - Lecture.
Description: The lectures introduce the main concepts and theories of the module.

Teaching method 2 – Seminar.
Description: The seminars will debate part of the topics introduced in the lectures

Teaching method 3 - Problem Based Learning
Description: PC lab sessions will be based on flipped-classroom and problem-based learning methods.

Students will be given a set of questions about the rest of the topics not included in the seminars and will be asked to work with survey data in order to find out about the ways to answer those questions. Before each session, materials will be made available covering particular statistical methods that can be used by students in order to fulfil each session's tasks.


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 11

5

      6

22
Timetable (if known)              
Private Study 128
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
             
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Online test. Standard UoL penalties will apply. There will be a reassessment opportunity. This will be anonymously marked.      20       
Research paper Standard UoL penalties will apply. There will be a reassessment opportunity. This will be anonymously marked.  -2000 words    50       
Hypothesis submission (two hypotheses) Standard UoL penalties will apply. There will be a reassessment opportunity This will be anonymously marked.  -1000 words    30       

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.