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Course content

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.

Module Aims

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.

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

Syllabus

• 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


Visit the Applied Research Methods - Masters Module page on the University of Southampton website for more details!

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