- Dr Jean-Marc Schwartz (Senior Lecturer - University of Manchester)
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Summative on line assessments||50%|
|Semester Assessment||interpreting results/solutions for 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:
1. Apply statistical knowledge in the context of postgraduate research.
2. Identify appropriate methods for different types of data.
3. Anaylse and interpret the results from a range of different statistical analyses.
4. Generate appropriate research hypotheses and research objectives.
5. Assimilate and synthesise information from published research and databases.
6. Clearly describe and communicate research findings.
This module provides the tools necessary for carrying out independent research. Covering qualitative and qualitative statistical methods for analyzing data, the module builds towards students identifying a suitable dissertation topic. The student 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.
• T-tests, ANOVA, post-hoc significance tests, data handling and presentation Correlation/Regression and Non-parametric tests.
• Students 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
• Evaluation of quantitative and qualitative research
• Assessment of published research
• Scientific writing and the production of a postgraduate dissertation
The statistics section of the module will contain a range of recorded lectures detailing each statistical test and instructive guides on how to perform each statistical test using specialist statistics software. Online formative and summative assessments which will test the students understanding and application of each statistical test. The research skills part of the module will contain a range of recorded lectures, interviews and other recorded material which will explore the nature of research and scientific publication. The research skills part has two assessments. The first assessment will evaluate the students' ability to review published literature, and synthesize and communicate their findings in a clear and concise manner. The second assessment is a research proposal on their chosen dissertation topic and will detail the hypothesis that will be tested, highlight some of the key research publications in their chosen area and present the experimental design they intend to implement, including detail on the statistical methods they intend to utilize.
|Skills Type||Skills details|
|Application of Number||Students will be taught statistical techniques and expected to complete both formative and summative assessments.|
|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