This module is not currently running in 2024 to 2025.
The module will begin with a broad overview of social science approaches to research, highlighting contrasts with standard natural science techniques and focusing on the qualitative-quantitative divide. Subsequent sessions will introduce individual methods such as qualitative interviewing, questionnaire surveys and focus groups. Sessions will also be devoted to processing and analysis of qualitative and quantitative data. Towards the end of the module, we will examine the principles of integrated research design and mixed-methods approaches.
Total contact hours: 33
Private study hours: 117
Total study hours: 150
This module is compulsory to the following courses:
• MSc Conservation Biology
• MSc Conservation and International Wildlife Trade
• MSc Conservation and Project Management
• MSc Conservation and Rural Development
Two empirical reports (50% each), both with a maximum word length of 2,000 words
Reassessment instrument: 100% coursework
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
On successfully completing the module students will be able to:
1 Demonstrate critical awareness of different research paradigms, including different strategies and designs for quantitative and qualitative approaches, including a systematic understanding of the relative merits of each;
2 Demonstrate a comprehensive understanding of basic methodological issues in social science, including response biases, triangulation and sampling, and mixed-methods approaches;
3 Demonstrate a practical understanding of a range of specific methods such as qualitative interviewing, focus groups and questionnaires;
4 Demonstrate a comprehensive understanding of the principles of analysis and presentation of qualitative data (through textual narrative, the use of quotations, coding and contingency tables) and quantitative data (through descriptive statistics); and
5 Present analysed data within the framework of a scientific /report.
University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.
