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|Module title||Applied Research Methods|
|Module lead profile url:||www.southampton.ac.uk/engineering/about/staff/bleeck.page?|
|External Examiner:||Dr Kai Uus, University of Manchester|
|Faculty||Engineering & the Environment|
|Academic unit||FEE Ed - Audiology|
|Academic session first offered||201516|
|Credit Points||ECTS 7.5|
|When will the module be taught||Full Academic Year|
|Pre-requisite and/or co-requisite modules|
|Programmes in which the module is core|
|Programmes in which the module is compulsory||
MSc Audiology (year 1)
MSc Audio/Clinical Placement (year 1)
|Programmes in which the module is optional|
|Date of last edit||15th Apr 2016 - 3:08pm|
This module aims to facilitate the development of lifelong learning with respect to
the research process by introducing students to research approaches and
methodology. The intention is that they will become informed recipients of
research evidence, able to understand its application to practice. The module
will afford students the opportunity to experience data analysis and to hone
their critical appraisal skills.
Aims and learning outcomes
Having successfully completed this module, you will be able to:
- A. Explain the main methods used for qualitative and quantitative research in health and social care, methods used for gathering and recording data, and statistical methods for analysis (including the concept of statistical power)
- B. Design and critically evaluate a viable research study in audiology
- C. Identify, carry-out and critically evaluate a strategy for descriptive and inferential statistical analysis of data
- D. Critically evaluate the output from commonly used analysis methods to draw conclusions based on a combination of the results and the underlying science
- E. Critically evaluate evidence and research literature in audiology science, considering for example potential sources of bias and alternative designs and analyses
- F. Demonstrate mastery of effective self-directed learning and scientific communication
Graduate Attributes are the personal qualities, skills and understandings that University of Southampton students have the opportunity to develop. They include but extend beyond subject-specific knowledge of an academic discipline and its technical proficiencies. The Graduate Attributes are achieved through the successful attainment of the learning outcomes of the programmes, and successful engagement with the University’s co-curriculum e.g. the Graduate Passport.
A checklist for embedding the graduate attributes is available at: https://sharepoint.soton.ac.uk/sites/ese/quality_handbook/Handbook/Employability%20Statement.aspx
Summary of syllabus content
- Research concepts
- Research audit and service improvement,
- Research Governance,
- Risk assessment in research protocols,
- Evidence Based Research
- Literature searching and reference managing,
- Practical collection of data
- Principles of qualitative and quantitative research, samples and populations, scales and categories of measurement, validity, errors and bias, control groups and matched controls.
- Between-subject and within-subject designs,
- Defining experimental hypotheses,
- Statistical methods for description and hypothesis testing,
- Concept of statistical power,
- Calculation of sample size,
- Measures and tests of association,
- Reading research publications critically,
- Writing a critical review of the research literature
- Interpretation and evaluation of qualitative data
- Principles of safety and ethics in research.
- Writing a critical review of the research literature
- Succinct reporting of findings
Summary of teaching and learning methods
Teaching methods include
- Two 45-minute lectures per week in a formal classroom setting. During these lectures there may be small group work with 4 students per group discussing salient issues with feedback from each group to the whole class.
- Computer room tutorials: statistics exercises with computers.
- Students will need to work in their own time and in timetabled independent learning sessions in order to supplement lectures and practical skills. In addition to the information resources available to you, they can meet with the module co-ordinator for assistance.
Learning activities include
- Students will complete formative assignments which test the student’s knowledge and understanding. Feedback on these is given during lecture sessions.
- Working in student’s own time and in timetabled independent learning sessions. Students are expected to read supporting texts outlined in the book list and make reference to appropriate academic journals in order to support lectures.
Study time allocation
Contact hours: 40
Private Study hours:110
Total study time: 150
Summary of assessment and Feedback methods
|Assessment Method||Number||% contribution to final mark||Final assessment (✔)||Feedback Method|
|Written report: experimental design and quantitative analysis of a study||100%||Written feedback on the assignment and opportunity to meet Module Lead for further feedback|
By set coursework assignment(s)
Written report: experimental design and quantitative analysis of a study 1 x 100%
Method of Repeat Year
Repeat year internally
Repeat year externally
Authors: M Mitcehll /J Jolley - Research Design Explained (2004) Publisher Thomson Wadworth - Lib Class Mark H62 MIT (1 copy)
Author: Field - Discovering Statistics using SPSS - Publisher Sage - Lib Class Mark H62 MIT (35 copies)
Appendix: KIS hours
|Contact hours for Teaching:||Hours|
|Seminars (including sessions with outside speakers)||0|
|Practical Classes and Workshops (including Boat work)||0|
|Supervised time in studios/workshops/laboratories||0|
|Work Based Learning||0|
|Preparation for scheduled sessions||16|
|Wider reading or practice||10|
|Completion of assessment task||68|
|6 Month Placement||0|