This module is not currently running in 2024 to 2025.
The aim of the module is that students choose and then answer their own research question. The objectives are to develop a research question and appropriate research design. This will be followed by identifying suitable data sources based on existing literature. This will be followed by identifying data sources and data analysis techniques to interrogate the data and answer their research question. The final part objective is write up the research in a clear and coherent manner.
Total contact hours: 10
Private study hours: 290
Total study hours: 300
Main assessment methods
Coursework- Research Proposal (2000 words) - 25%
Coursework - Dissertation (10000 words) - 75%
Reassessment methods
Reassessment Instrument: 100% coursework
Allison, P. D. (1999). Multiple regression: A primer. Pine Forge Press.
Longhi, S., & Nandi, A. (2014). A Practical Guide to Using Panel Data. Sage.
Mills, M. (2011). Introducing survival and event history analysis. Sage Publications.
Morgan, S. L., & Winship, C. (2014). Counterfactuals and causal inference. Cambridge University Press.
Rabe-Hesketh, S., & Skrondal, A. (2008). Multilevel and longitudinal modeling using Stata. STATA press.
Tarling, R. (2008). Statistical modelling for social researchers: Principles and practice. Routledge.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes are as follows.On successfully completing the module students will be able to:
1. Identify a research question
2. Identify and critically evaluate the literature relevant to the question
3.Identify appropriate data sources (can be primary or secondary data) for investigating selected research question
4.Identify and apply appropriate analytical methods for investigating selected research question
5.Understand and put into practice links between theory, research questions, quantitative analysis, and findings
6.Systematically covey the process of quantitative data gathering, analysis, findings, and their implications of a specified research question
The intended generic learning outcomes are as follows. On successfully completing the module students will be able to:
1.Demonstrate bibliographic and computer search skills
2.Think critically, analyse and synthesise, including ability to evaluate statements in relation to evidence, line of reasoning and implicit values
3.Demonstrate advanced skills in the analysis and communication of quantitative data
4.Distinguish between technical, normative, moral and political questions
5.Critically assess scholarly theory and data and their implications.
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.
