Qualitative Research: Design, Analysis and Representation

This course is designed for participants who have undertaken a qualitative study in their work or study and would like to build their theoretical knowledge and applied skill base in qualitative research.

Level 2 - runs over 5 days

Dr Delwyn Goodrick is a psychologist who undertakes program evaluation and social research with a wide range of government and private sector clients. She is an experienced trainer having conducted a range of specialist workshops in research and program evaluation in Australia, Singapore, the US, UK, Canada and New Zealand. Most of Delwyn's work relates to health and education contexts. She maintains her own private consultancy practice.

Course dates: Monday 8 February 2016 - 5 12 February 2016
Course status: Course completed (no new applicants)
Week 3
About this course: 

The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health.


The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and contect of qualitative research.

Course syllabus: 

Day 1
Epistemological and Methodological foundations. The importance of epistemology and methodology in qualitative research. Identification of research, values, stance, and voice. Designing qualitative research – common frameworks (life history, ethnography)


Day 2
Design frameworks continued. Grounded Theory and Ethnography. An overview of methods and methods tips. Linking stance, design and methods.


Day 3
Case study and narrative research design frameworks will be presented. Making sense of qualitative data: How to make reasoned decisions about the appropriateness of analytic strategies Data management and analysis.


Day 4
Data Analysis and representation continued. Matrix displays, thematic analysis (grounded and theory driven), constant comparative method, phenomenological approaches.


Day 5
Issues in the representation of qualitative research. How to assess the quality of qualitative research Enhancing the validity and trustworthiness of qualitative research (including technical, reflexive and critical criteria and standards). Post structural forms of legitimation. Constructing effective arguments.

Course format: 

This course will take place in a classroom. No equipment is needed.

Recommended Background: 

Participants will be expected to have experience with at least one qualitative research project or have undertaken an introductory level course in qualitative research methods.  While some discussion of the technical elements of methods is presented during the course of the workshop, participants should have a basic familiarity with data collection methods such as interviews, observation and document analysis.

Recommended Texts: 

Other reading that may be useful:

  • Bazeley, P. (2013). Qualitative data analysis: Practical Strategies. London: Sage
  • Miles, M. Huberman, M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook. (3rd ed). Los Angeles: Sage.
  • Patton, MQ. (2015). Qualitative research and evaluation methods. 4th ed, Thousand Oaks, CA: Sage
Course fees
Non Member: 
Full time student Member: 

Q: Do I have to have had any qualitative research experience to do this course?

A: Yes, you will have been expected to have experience with at least one qualitative research project or have undertaken an introductory level course in qualitative research methods.

Participant feedback: 

Good mix of presentation with many opportunities for discussion. The reading materials and in-class analysis & discussion of these were excellent. Clarified + explained these well. (Spring 15)


Really useful in terms of better understanding of design frameworks positionary etc. (Spring 15)


It was theory & practical based which gave a better learning outcome. (Summer 2015)


Del was a fantastic presenter. The depth of theoretical knowledge was great and the practical focus was so refreshing. (Summer 2015)


Opened my mind to different methodologies. Clearly explained and showed links between theory and practice. (Summer 2015)


It has given me a greater understanding about what I require for my PHD. (Summer 2015)


Many great references and an immersion in the philosphy(ies) of qual research. (Summer 2015)


Learning about the big picture and drilling down against the alternative paradigm lens of different scholars. (Summer 2015)


QR Design and analysis is a practical skill. I welcomed when we moved from discussion to testing my own understanding on data. (Winter 2015)


It was a great intersection between theory and practice. (Winter 2015)


Helped me reinforce skills I have and nourished my hunger for new learning. (Winter 2015)


The instructor was responsive to students needs very knowledgeable & flexible. Clarified & deepened my understanding & provided food for thought. (Winter 2014)


Very relevant to work. Constructed and framed the topic. (Winter 2014)

Summer Program 2016

The instructor's bound, book length course notes will serve as the course text.