Occurrence | Teaching period |
---|---|
A | Spring Term 2022-23 |
This module aims to develop further the skills in research methods that students have acquired from the modules Qualitative Methods and Quantitative methods & Data Analysis. It will provide them training in more advanced research methods, both qualitative and quantitative. Students will be introduced to a range of techniques of data analysis. These techniques will form a tool-kit on which students will be able to draw to develop innovative projects. Students will then acquire distinctive methodological skills as the module aims to focus on exciting and ground-breaking methodologies. Emphasis will also be put on a practical knowledge of the techniques through concrete examples and exercises.
This module will then:
provide students with a wide range of more advanced methods, both quantitative and qualitative
provide students with practical-based knowledge of methods in social sciences
explore different software packages
make students able to critically engage with more advanced methods
By the end of this module students will:
Task | % of module mark |
---|---|
Essay/coursework | 50 |
Essay/coursework | 50 |
None
Task | % of module mark |
---|---|
Essay/coursework | 50 |
Essay/coursework | 50 |
Feedback on all work is provided in a variety of ways and you must make the most of all opportunities do discuss your assessment and study progress:
1. After each open assessment you will receive feedback on the strengths and weaknesses of your work. This will be available within 4 weeks of the submission deadline
2. You will meet with your supervisor twice a term and you should discuss any concerns that you have and also present your assessment feedback for further comment
3. You will be asked to comment on the teaching of the modules and results will be discussed at Teaching Committee
4. You will have five supervision meetings with your dissertation supervisor through the summer months to enable you to discuss the different aspects of your work.
These will be available on the module sites through the Yorkshare VLE. Most reading materials will be journals or book chapters which will be in pdf format. These can be downloaded and annotated on your work pc if you don t want the expense of printing.
Recommended books will be available in the library for reference only.