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Module title Applied Research Methods
Module code AUDI6004
Module lead

Stefan Bleeck

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
Level Postgraduate taught
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

Module overview

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

Disciplinary Specific

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

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 (✔)
Written report: experimental design and quantitative analysis of a study 100%

Referral Method

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

Learning Resources

Resource type: Core textbook

Authors: M Mitcehll /J Jolley - Research Design Explained (2004) Publisher Thomson Wadworth - Lib Class Mark H62 MIT (1 copy)


Resource type: Core textbook

Author: Field - Discovering Statistics using SPSS - Publisher Sage - Lib Class Mark H62 MIT  (35 copies)


Cost Implications

None

Appendix: KIS hours

Contact hours for Teaching:Hours
Lectures32
Seminars (including sessions with outside speakers)0
Tutorials8
Practical Classes and Workshops (including Boat work)0
Project supervision0
Fieldwork0
Demonstration Sessions0
Supervised time in studios/workshops/laboratories0
External Visits0
Summer Workshops0
Work Based Learning0
Total40
Independent studyHours
Preparation for scheduled sessions16
Follow-up work16
Revision0
Wider reading or practice10
Completion of assessment task68
Placement Hours0
Year Placement0
6 Month Placement0
Total110