What you need to know about UK 🇬🇧 Masters dissertation research methods are varied in type and heterogeneous by subject area and specific topic. Common research methods are as follows:
1. **Survey Research (Survey Research)**: the use of questionnaires, face-to-face interviews, network surveys and other means of large-scale data collection, used to reveal, analyse or predict a phenomenon.
2. **Case Study**: Aiming at a person, group or event to do a detailed study to explore the inner complexity of the phenomenon and its mechanism. 3.
3. **Empirical Research**: Collecting and analysing actual data to verify or overthrow research hypotheses, including experimental and observational research.
4. **Literature Review (Literature Review)**: A domain-wide literature review that summarises the results of previous research and acts as a support or guide to the research.
5. **Experimental Research**: Conducting experiments under strict control to test research hypotheses and explore causal links. 6. **Qualitative Research**: Conducting experiments under strict control to test research hypotheses and explore causal links.
6. **Qualitative Research**: In-depth interviews, focus groups, observations, etc. are used to collect non-quantitative data and explore the phenomenon in depth.
7. **Quantitative Research (Quantitative Research)**: Based on numerical data to carry out statistics and analyses, focusing on the numerical results of the research, to verify theories or test hypotheses.
8. **Action Research**: Researchers and daily participants work together to solve practical problems, strengthening the connection between practice and research. 9.
9. **Historical Research**: The study of historical documents and records to gain insights into past events, social change, and cultural evolution. 10.
10. **Comparative Research**: Compare and contrast differences between regions, cultures, and organisations to find commonalities and patterns.
Research methods are often customised according to the nature of the problem, the availability of data and the researcher’s preferences; research feasibility and ethical issues must also be considered.
