|Delivery Type||Delivery length / details|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||10x Summative Assessments||50%|
|Semester Assessment||Interpreting results/solutions for practical use by agri-food supply chains||25%|
|Semester Assessment||Research Proposal||25%|
|Supplementary Assessment||Students must take elements of assessment equivalent to those that led to failure||100%|
On successful completion of this module students should be able to:
Apply statistical knowledge in the context of postgraduate research.
Identify appropriate methods for different types of data.
Anaylse and interpret the results from a range of different statistical analyses.
Generate appropriate research hypotheses and research objectives.
Assimilation and synthesis of information from published research and databases.
Clearly describe and communicate research findings.
This module provides the tools necessary for carrying out independent research. Part 1 will cover qualitative and qualitative statistical methods for analysing data. Part 2 will build towards the students identifying a suitable dissertation topic and will be taught to evaluate existing research published in a range of different sources. The students will also evaluate the different knowledge exchange mechanisms that are appropriate to the audience.
Part 1: statistics
- T-tests, ANOVA, Correlation/Regression and Non-parametric tests.
- Students will choose a further six sub-units from the following subject areas:
- Data handling and presentation, multifactorial ANOVA, post-hoc significance tests, repeated measures/split plot ANOVA, cross over designs, Multivariate Analysis of Variance (MANOVA), principle component analysis, multiple regression, curvilinear regression, canonical variate analysis (CVA), discriminant function analysis (DFA, survey/questionnaire design and analysis, GIS.
- The nature of research and the research process.
- Evaluation of quantitative and qualitative research.
- Assessment of published research.
- Scientific writing and the production of a masters dissertation.
|Skills Type||Skills details|
|Application of Number||Students will be taught statistical techniques and expected to complete both formative and summative assessment which will involve.|
|Communication||Students will be expected to be able to express themselves appropriately in their assignments.|
|Improving own Learning and Performance||Detailed feedback will be given for assignment work.|
|Information Technology||Students will be required to source information from a variety of scientific publication data bases and be taught to use specialist statistical software.|
|Personal Development and Career planning||Research Project Plan – developed in collaboration with employer and supervisor.|
|Problem solving||Online quizzes will be used to help develop and improve students problem solving skills.|
|Research skills||Students will be required to undergo directed self study and so will develop their literature research skills.|
|Subject Specific Skills|
This module is at CQFW Level 7