Module Information
Course Delivery
| Delivery Type | Delivery length / details |
|---|---|
| Practical | 9 x statistics workshops |
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | Quantitative Research Critique | 40% |
| Semester Assessment | Quantitative Research Report - 2,500 word report designed to measure students ability to carry out data and analytical analysis. | 60% |
| Supplementary Assessment | Quantitative Research Critique - resubmission of failed component using a different set of data from original | 40% |
| Supplementary Assessment | 2,500 word resubmission of failed component using a different set of data from original submission | 60% |
Learning Outcomes
On successful completion of this module students should be able to:
Demonstrate an ability to conduct small and large scale survey projects
Collect quantitative data
Demonstrate an ability to manage research data, and use IT in such data management
Conduct research in a manner which is consistent with professional practice
Analyse large scale data sets
Brief description
This module is designed to be an integral component of the RT courses which the University has introduced in order to meet the joint funding Research Councils statement on Research Training. Through this module Masters and PhD students will gain a broad knowledge of a range of transferable skills which they can apply in a variety of research contexts.
Aims
The course is designed to give students a grounding in the basic principles of quantitative research methodology. It will include an analysis of the principles of quantitative research data and data analysis. The module will introduce students to the basic tenhniques of analysis, presentation and description of statistics.
Content
- T-tests
- Correlation
- Analysis of Variance
- Data entry, graphs, summary statistics
- Anova
Notes
This module is at CQFW Level 7