Programme And Module Handbook
 
Course Details in 2024/25 Session


If you find any data displayed on this website that should be amended, please contact the Curriculum Management Team.

Module Title LI Neuroscience Methods 1
SchoolSchool of Psychology
Department School of Psychology
Module Code 03 28757
Module Lead Anke Buttner
Level Intermediate Level
Credits 10
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions None
Exclusions
Description The aims of the module are to introduce students to quantitative methods of experimental design and statistical analysis, focussing on ANOVA. Students will also be exposed to research design and methodology through a group mini-project and compulsory engagement within the research participation scheme.

Details:
a) Introduction to level I research methods & Revision of RM analyses
b) Extending experimental design, constructing rationales, reading papers critically, and writingreports

Analysis of variance (ANOVA):
a) One-way ANOVA (between and within participants)
b) Factorial ANOVA (between and within participants, mixed)
c) Main effects, simple effects, interactions, and post-hoc testing
d) Introduction to MANOVA
e) Non-parametric tests equivalents of ANOVA

Mini-project: Quasi-experimental research: ANOVA

5 hours of participation in current research.
Learning Outcomes By the end of the module students should be able to:
  • Demonstrate a breadth of knowledge about the concepts behind analysis of variance.
  • Conduct an appropriately designed multi-factor experiment and describe and justify.
  • their own research using appropriate written reporting conventions.
  • Carry out and interpret inferential analyses using SPSS.
Assessment 28757-01 : Report : Coursework (80%)
28757-02 : Online Coursework : Coursework (20%)
28757-03 : Research Participation : Practical (0%)
Assessment Methods & Exceptions Assessment:
1. Quantitative Research Report, 2000 words (80% of 10 credit module)
2. MCQ Test Portfolio (20% of 10 credit module)
3. Attainment of Research Participation Scheme Credits from Semester 1 [Internal hurdle for this 10 credit module].
Reassessment:
If the module is failed or deferred, any failed/deferred component will be resubmitted or resat
Other None
Reading List