|Delivery Type||Delivery length / details|
|Lecture||Distance learning equivalent of 20 x 1h lectures|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Summative on line assessments, related to each statistical on line session||50%|
|Semester Assessment||Interpretation of results/solutions applied to practice||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. Applying statistical knowledge in the context of postgraduate research.
2. Identifying appropriate methods for different types of data.
3. Anaylsing and interpret the results from a range of different statistical analyses.
4. Generating appropriate research hypotheses and research objectives.
This module provides the tools necessary for carrying out independent research. Part 1 will cover quantitative and qualitative statistical methods for analyzing 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: research skills
- 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
Part 2: statistics
- 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.
|Skills Type||Skills details|
|Application of Number||Students will be taught statistical techniques and expected to complete both formative and summative assessment.|
|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