AUDI6004 Applied Research Methods
This module on research methods and statistics, particularly relevant to social and healthcare sciences, intends to help students become informed recipients of research evidence and 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 Objectives
The aims of this module are (1) to facilitate the development of lifelong learning with respect to the research process by introducing you to research approaches and methodology; and (2) to prepare you for Master’s-level research projects.
Disciplinary Specific Learning Outcomes
Having successfully completed this module you will be able to:
- 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)
- Design and critically evaluate a viable research study in audiology
- Identify, carry-out and critically evaluate a strategy for descriptive and inferential statistical analysis of data
- Critically evaluate the output from commonly used analysis methods to draw conclusions based on a combination of the results and the underlying science
- Critically evaluate evidence and research literature in audiology science, considering for example potential sources of bias and alternative designs and analyses
- Demonstrate mastery of effective self-directed learning and scientific communication
• 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
Learning and Teaching
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.
|Wider reading or practice||50|
|Completion of assessment task||50|
|Preparation for scheduled sessions||10|
|Total study time||150|
Resources & Reading list
M Mitcehll ,J Jolley (2004). Research Design Explained.
Field. Discovering Statistics using SPSS.
Repeat type: Internal & External