This module will take an applied approach to the design of experiments and surveys, the construction of testable hypotheses and the statistical analysis and presentation of results using SPSS. It will cover both quantitative and qualitative elements, ethics and the development of the dissertation proposal as a submitted assessed report.
Occurrence | Teaching period |
---|---|
A | Semester 2 2023-24 |
The course aims to equip all students with skills and knowledge for (1) developing a successful research career including applying for jobs, ethical considerations and research project design and writing, and (2) designing, executing and analysing environmental and social surveys.
The statistical element of the course does not aim to provide a comprehensive guide to all statistical techniques, rather to build confidence and skills such that students are familiar with the common principles and methods and competent in the use of simple statistical software.
On completion of the module, successful students will be able to:
- demonstrate an ability to design and execute robust environmental and social sampling methods
- demonstrate a familiarity with the procedure for exploring and analysing data
- demonstrate standard statistical techniques used for analysing data
- demonstrate an awareness of the principles of scientific writing and publication including creation of a dissertation proposal
Task | % of module mark |
---|---|
Essay/coursework | 70 |
Essay/coursework | 30 |
None
The research project proposal will be marked by the respective student’s dissertation supervisor so will not be anonymised.
Task | % of module mark |
---|---|
Essay/coursework | 70 |
Essay/coursework | 30 |
Written feedback will be provided on the summative assessments within the University standard feedback period. Ongoing verbal feedback provided throughout the module.
Field, Miles & Field (2012) Discovering Statistics Using R. Sage.