- Department: Psychology
- Credit value: 20 credits
- Credit level: I
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
Occurrence | Teaching period |
---|---|
A | Semester 1 2024-25 |
Experimental designs in psychology typically employ statistical analyses such as analysis of variance, factor analysis and regression. The aim of this module is to make these topics more accessible through the use of practical examples and data collection exercises.
In Year 2 we move on to more advanced statistical analysis. These are essential tools for analyzing and interpreting the data that you will gather for your third-year empirical research project – valuable methods used in published psychological experiments and a wide range of scientific and social research. This very practical part of the course strikes a balance between providing a grounding in key statistical concepts and theories while also developing the skills needed to carry out analyses using statistical software and to interpret and report the results.
TB6: Correlations and linear regression
TB7: Multiple linear regression and Principal Components Analysis
TB8: One way and two way ANOVAs
TB9: Repeated measures and mixed design ANOVAs; Power analysis; Qualitative research
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 50 |
Essay/coursework | 5 |
Essay/coursework | 30 |
Essay/coursework | 5 |
Essay/coursework | 5 |
Essay/coursework | 5 |
None
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 50 |
Essay/coursework | 50 |
The marks on all assessed work will be provided on e-vision.
We have a custom made textbook to support key study skills throughout your degree: Slocombe, Katie (2010). All you ever wanted to know about research methods and academic skills. Pearson
In Year 2 we recommend Andy Field, Discovering Statistics Using SPSS: Fourth or Fifth Edition