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2017/18 Taught Postgraduate Module Catalogue
ARCS5263M Research for Diagnostic Imaging
15 creditsClass Size: 15
Module manager: Anne-Marie Culpan
Email: a.m.culpan@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2017/18
Pre-requisite qualifications
See programme entry criteriaThis module is not approved as an Elective
Module summary
This module will introduce students to the principles of research and evidence based clinical practice.It will equip students with the knowledge and skills to develop a research, service evaluation or practice development proposal for investigating a clinical problem in an area of diagnostic imaging relevant to their own professional practice.Objectives
To provide an opportunity for students to develop an understanding of research, service evaluation or practice development methodologies that underpin evidence based practice and explore how quantitative and qualitative data can be collected and analysed.Learning outcomes
On successful completion of this module, students will be able to select a clinical or professional topic for investigation and:
- demonstrate the principles required to critically evaluate literature on the selected topic;
- critically analyse and debate the requirements needed to undertake a quantitative or qualitative investigation of the selected topic;
- justify the collection and analysis of quantitative or qualitative data to explore the topic; and
- suggest how their findings might inform evidence based practice in their own domain of diagnostic imaging.
Skills outcomes
On completion of this module students will be able to
- Critically appraise literature
- Understand different research methodologies
Syllabus
Identifying investigable problems
Literature review - searching, critical appraisal, data extraction, synthesis and critical analysis
Research, service evaluation and practice development projects:
- methodologies currently used in clinical imaging practice;
- qualitative, quantitative and systematic review project designs;
- sampling and recruitment strategies;
- principles and methods for quantitative and qualitative data collection; design and testing of data collection instruments;
- principles and methods for quantitative and qualitative data analysis; introduction to data handling software – Endnote, RevMan, SPSS, Nvivo.
- ethics, governance and project approval.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Workshop | 1 | 1.00 | 1.00 |
Lecture | 16 | 1.00 | 16.00 |
Seminar | 1 | 2.00 | 2.00 |
Tutorial | 10 | 1.00 | 10.00 |
Independent online learning hours | 6.00 | ||
Private study hours | 115.00 | ||
Total Contact hours | 29.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Private study
Self-completion of workbooks and online learning exercisesPrivate study – Guided reading; Preparation for tutorials; Preparation and completion of coursework.
Opportunities for Formative Feedback
Each student will attend a review meeting with the module leader and receive verbal feedback and discuss their progress.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Literature Review | 2000 words | 70.00 |
Report | Project proposal | 30.00 |
Total percentage (Assessment Coursework) | 100.00 |
Project proposal – no more than 4 pages of project proposal /study protocol submitted at the end of November. Literature Review - Critical appraisal of 5 key papers relevant to investigation proposal to be submitted at the end of January.
Reading list
The reading list is available from the Library websiteLast updated: 27/04/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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