Research Methodology and Statistics
- Module code
- Module leader
- Dr Meriel Moore-Colyer
- Module level
- Module credits
- Min study time
- 150 hours
- Contact Hrs within study time
- 17 hours
- Teaching period
- 1st 3 weeks summer term (approx. 6 lectures)
MSc dissertation requirements. The research process for the dissertation. Research questions, hypothesis and non-hypothesis research. Experimental design involving animals. Types of data. Feasibility of objectives. Analytical techniques for quantitative and qualitative data. Questionnaire compilation and analysis. Use of computer statistical software packages.
To achieve credit for this module, students must be able to:
- Demonstrate an ability to design a statistically sound experimental protocol in order to answer a research question or hypothesis, and to evaluate the validity of the methodology.
- Prepare a research proposal using an appropriate research model.
- Show a level of ability and autonomy to carry out a research project that would be deemed appropriate for M level and for publication in a nationally recognised scientific journal.
- Apply appropriate statistical/analytical techniques to data, evaluate the results, to draw conclusions and present material in an appropriate scientific format.
|Coursework||1 x seminar||50%|
|Coursework||1 x individual submission||50%|
Students should be familiar with the content of the following:
- Dytham, C. (2011). Choosing and Using Statistics: A Biologist's Guide. (3rd edition). Wiley-Blackwell.
- Peters, J., Howard, K. and Sharp, J.A. (2002). The Management of a Student Research Project. (3rd edition). Gower Publishing.
- Petrie, A. and Watson
- Blaxter, L., Hughes, C. and Tight, M. (1996). How to Research. Open University Press.
- Clarke, G.M. (1994). Statistics and Experimental Design. (3rd edition). Arnold.
- Hoshmand, A.R. (1998). Statistical Methods for Environmental and Agricultural Sciences. CRC Press.
- Morris, T.R. (1999). Experimental Design and Analysis in Animal Science. CABI.
- Salkind, N.J. (2011). Statistics for People Who (Think They) Hate Statistics. (4th edition). Sage Publications.