| Semester 1 Credit Value: | 5 |
| Semester 2 Credit Value: | 15 |
| ECTS Credits: | 10.0 |
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This module aims to:
• Familiarise students with potential designs of studies for clinical research;
• Familiarise students with the differences between qualitative and quantitative research methods;
• Develop familiarity and confidence with different methods of data handling and coding;
• Develop skills to interpret data, prepare and deliver a presentation and to facilitate effective reading and critical appraisal of published literature.
• Quantitative research
• Qualitative research
• Data coding and cleaning
• Data handling and databases
• Statistical analysis of descriptive data
• Interpretation of results
• Interpretation of evidence
• Presentation of data and evidence
Upon completion of this module students will be able to:
• Discuss the differences between qualitative and quantitative research;
• Identify a range of different study designs for clinical research and discuss their applicability to different research questions;
• Select an appropriate study design to address a research question;
• Identify an appropriate method to analyse research data.
Upon completion of this module students will be able to:
• Design a small scale research project within their own clinical speciality;
• Source, assimilate and critically appraise current literature;
• Develop a coding framework;
• Collect, analyse, interpret and present research data;
• Manage data appropriately.
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 100 | 1:00 | 100:00 | N/A |
| Guided Independent Study | Directed research and reading | 76 | 1:00 | 76:00 | Self directive learning and reading. |
| Scheduled Learning And Teaching Activities | Small group teaching | 3 | 7:00 | 21:00 | Teaching via 3 face to face study days. |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 1 | 3:00 | 3:00 | Extra stats session available for students to drop in. |
| Total | 200:00 |
This module will be a mixture of small group teaching and tutorials/workshops. The statistics will be delivered as small group teaching. The study design will be taught as a mixture of small group teaching, tutorials and mini-workshops. Students will get formative feedback at the tutorials and mini-workshops. Teaching will be supported by the VLE.
The format of resits will be determined by the Board of Examiners
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Prof skill assessmnt | 2 | M | 20 | Critical Appraisal: Critique of Qualitative Paper. 1500 words max (including questions). |
| Written exercise | 2 | M | 24 | Statistics assignment: To include case study analysis (max 2) and a short essay question (max 300 word) |
| Prof skill assessmnt | 2 | M | 20 | Critical Appraisal: Critique of Quantitatve Paper. 750 words max (including questions). |
| Oral Examination | 2 | M | 30 | Short group presentation (10 slides) - 15 minutes |
| Computer assessment | 2 | M | 6 | 15 mins MCQ (maximum 10 questions) |
Computer literacy will be assessed in the presentation and coding framework assessment. Written and oral presentation skills will be assessed in the written work and in the presentation. The critical appraisal assessment will test knowledge and understanding of different modes of clinical research and the different components of a research project as well as of differences between qualitative and quantitative research methodologies. The statistics assignment tests students’ knowledge of statistical analysis methods and enables them to demonstrate practical skills in using statistical software to analyse data.
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Disclaimer: The information contained within the Module Catalogue relates to the 2022/23 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2023/24 entry will be published here in early-April 2023. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.