Centre for Professional Development and Lifelong Learning

Postgraduate Modules

Qualitative Data Analysis

Overview

The course meets the needs of health allied health and behavioural science professionals who need to: critically analyse, design and conduct qualitative research in healthcare settings.
It contains theoretical and practical elements of qualitative analysis, including the use of relevant computer software.
It also introduces the student to core principles involved in the process of disseminating qualitative research

What will I Learn?

By the end of the course, students will be able to:

  1. Describe various analytic approaches to qualitative data
  2. Discuss the appropriateness of various analytic approaches to specific qualitative studies
  3. Create a qualitative database using a computer software program
  4. Practically apply one analytical approach to data
  5. Manage qualitative data files effectively for analysis
  6. Code textual data using a qualitative software program
  7. Interpret coded qualitative data
  8. Produce a written account of data analysis in a qualitative format

Who Should do this Course

Important Information

This course is designed to increase the capacity of students to competently design and conduct qualitative research with particular emphasis on the analytic component of the research cycle.

At a Glance

  • Admissions Term: 2019/2020 Semester II
  • Date: TBA
  • Time:
  • Duration: TBA
  • Certificate Awarded: Professional Development Certificate of Competence
  • Course Code: PBHE 6060
  • Capacity: 10
  • Cost: BDS$1220/ US$610

The following topics will be discussed during this course:

  • Overview of various analytical approaches to qualitative data
  • Introduction to the use of qualitative software
  • Management of qualitative data
  • Creating codebooks and memos
  • Ethical issues in qualitative analysis
  • Analysis of qualitative data using software
  • Dissemination of qualitative research findings

The course will be delivered in 12 sessions of 1 hour each. Student participation is integral to meeting the learning objectives.
Sessions will comprise of:

  1. Lectures
  2. Small group work

Practical training in data analysis by conducting a small research project using computer software

Dr. Madhuvanti Murphy / Dr. Natalie Greaves