The University of Southampton
Courses

MEDI6082 Clinical Research Skills

Module Overview

Understanding research, the appropriate use of qualitative and quantitative methods and how to interpret results is fundamental to being able to critique an evidence base. This module teaches you how to apply qualitative, quantitative and mixed methods approaches when carrying out research or evaluating a service and to understand them when considering the results reported by others

Aims and Objectives

Module Aims

• To provide the skills to understand how to apply qualitative and quantitative methods research methods to evaluate the body of evidence • To develop the skills required to design, undertake, analyse and write up sound qualitative and quantitative methods research

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Appraise the value, nature, uses and limitations of a range of qualitative and quantitative research methods
  • Identify and justify the value of different sources of data in drawing conclusions from published literature.
  • Evaluate when to use a variety of qualitative and quantitative research techniques.
  • Distinguish the differences between various statistical techniques.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Compose and communicate research ideas effectively
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Differentiate the value of information from different types of study designs and different sources.
  • Critically assess research carried out by others, evaluate its usefulness for your own practice.
  • Distinguish between the different types of data.
  • Choose appropriate research analysis techniques for data analysis.
  • Examine and undertake appropriate quality checking, data manipulation, presentation and summary methods.
  • Design an appropriate research project proposal.

Syllabus

• Types of research • Developing a research question and proposal • Philosophy & principles of ethics in human research • Developing and practicing evidenced-based approach to literature searching: summarizing data/evidence, evaluating data/evidence • Principle & practice of critical appraisal • Systematic review methodology • Chance, bias and confounding • Accuracy, reliability and validity • Types of data • Statistical concepts and techniques • Hypothesis testing • Sample size calculation • Qualitative data collection methodology • Interviews and focus groups • Qualitative data analysis

Special Features

The module will be taught by an international faculty, at the forefront of their respective academic disciplines and professions. Adult learning methods will be used throughout and an emphasis placed upon interactive learning, practical demonstration and the interpretation of clinical scenarios to reinforce learning

Learning and Teaching

Teaching and learning methods

A variety of methods will be used including lectures, active participatory methods, presentations by health researchers, e-learning/interactive tools for learning and self-assessment, computer demonstrations and practical exercises using computers, guide reading, group study and individual study

TypeHours
Independent Study220
Teaching30
Total study time250

Resources & Reading list

Campbell M.J., Machin D. & Walters S.J. (2007). Medical Statistics: A Textbook for the Health Sciences. 

Bowling, A. (2005). Handbook Of Health Research Methods: Investigation, Measurement And Analysis. 

Available from the University of Southampton as an e-book. Over 41 Allergy related e-books available.

Electronic Statistics Textbook.

Bowling A. (2009). Research Methods in Health: Investigating Health and Health Services. 

Training on the programmes. Programmes include SPSS, Confidence Interval Analysis and Statistics for the Terrified.

BlackBoard website.

Statistics e-learning.

UCLA Statistical Computing Resources.

How to read a paper.

Software.

Assessment

Assessment Strategy

The assessment for the module provides you with the opportunity to demonstrate achievement of the learning outcomes. There will be three components to the assessment i) examination of qualitative and quantitative methods knowledge and understanding ii) data management, analysis and reporting of results and iii) the development and written presentation of a research proposal. The pass mark for the module and all assessed components is 50%. If you do not achieve the pass mark on this module by achieving 50% or more in all components, you may still pass by compensation. To do this, you must achieve a qualifying mark of 40% on each assessed component. Each of the component marks is then combined, using the appropriate weighting, to give an overall mark for the module. If this overall mark is greater than or equal to 50% you will have passed the module. If your overall mark is less than 50% when the weighting has been applied to the components, you will have failed the module. If you have not achieved 40% or more on all components, you cannot use compensation and have failed the module. If you have failed the module, you will have the opportunity to submit work at the next referral (re-sit) opportunity for all components where you have not achieved the pass mark. Marks for components which were passed will be carried forward. You must achieve the pass mark in all referred components. On passing your referrals, your final module mark will be capped at 50%.

Summative

MethodPercentage contribution
Assessment of Qualitative and Quantitative methods 30%
Data management, analysis and reporting of results 30%
Project proposal  (2000 words) 40%

Referral

MethodPercentage contribution
Assessment of Qualitative and Quantitative methods 30%
Data management, analysis and reporting of results 30%
Project proposal  (2000 words) 40%

Repeat Information

Repeat type: Internal & External

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