This module provides the tools necessary for carrying out independent research. Covering qualitative and qualitative statistical methods for analyzing data, the module builds towards participants identifying a suitable dissertation topic. The participant will be taught to evaluate existing research published in a range of different sources and evaluate the different knowledge exchange mechanisms that are appropriate to the audience.
This module is compulsory for anyone intending to undertake a full MSc or who has been accepted for a research degree (Research Masters or Professional Doctorate). It runs twice a year for five months. The additional length of the module is to allow you the time to work with your supervisor in developing the research proposal for your MSc, MRes or Doctoral research.
On successful completion of this module participants should be able to:
The aim of this module is to provide training relevant to assessments within other modules, including the Masters' dissertation. The module will cover the following principal areas:
T-tests, ANOVA, post-hoc significance tests, data handling and presentation Correlation/Regression and Non-parametric tests.
Participants will choose a further three sub-units from the following subject areas:
Multifactorial ANOVA, repeated measures/split-plot ANOVA, Multivariate Analysis of Variance (MANOVA), principal component analysis, canonical variate analysis (CVA), discriminant function analysis (DFA),
survey/questionnaire design and analysis, introduction to R.
The nature of research and the research process
AgriFood Training Partnership
The University of Reading
PO Box 226, Whiteknights
Reading RG6 6AP
T. +44 (0)330 333 4530