Lecture 3 - DrawOut method and Thematic Analysis

Question 1

(lecture):

Describe the DrawingOut method to elicit qualitative data - What are the 8 steps involved?

Answer 1

(lecture) :
- DrawingOut is a novel arts-based qualitative research method

• DrawingOut useful to:
  > help people think and talk about sensitive (invisible) topics while providing enjoyable experience
  > elicit rich visual and textual data capturing a diversity of views and experiences
  > create highly engaging materials
• Researchers, health professionals, patient advocates
  > need to be aware of group dynamics during workshop

See slides 6-17 in the relevant ppt. slides.

Question 2

(lecture):

List some advantages of the DrawingOut method.

Answer 2

(lecture) :
- Generally inclusive because most people can draw

• Knowledge creation is facilitated
  > Atypical retrieval process for emotion-laden experiences
  > Visual-metaphors facilitate expression of sensitive [invisible] issues ¤ Sharing drawings facilitates communication between people
• People living a given experience seen as “epistemic witnesses”
• Significant potential for knowledge dissemination (booklet)
  > Created drawings easy to engage with
  > Drawings and accompanying words facilitate reflection & dialogue with
  others
  > Communication at different levels possible (e.g., empathy, understanding)
• People create new metaphors
• Participants felt DrawingOut helped them to convey their experiences
  > “…the art kind of made it fun and easier for everybody to open up”
  > “…in this country there are so many problems because of the language barriers [drawing] art can help make a message for each of us”

Question 3

(lecture):

What is one disadvantage of the DrawingOut method?

Answer 3

(lecture):

• Group dynamics need to be acknowledged
  > Influencing & copying others
  > Cumulative story-telling / group meaning-making
  > Challenging, ‘correcting’, ‘educating’
  > Research or support intervention?

Question 4

(lecture):

What is thematic analysis?

Answer 4

(lecture):

• Thematic analysis is a method for identifying, analysing, and reporting patterns (themes) within an entire data set
  > Themes = summarise the topics, ideas, issues and patterns of meaning that come up repeatedly (recur) across data providers
• Application of this technique differs across disciplines
  > Will describe most common approach for psychology
• Data coded to achieve ”trustworthiness”
  > Usually inductive (bottom up, data-led)
  > Uses code book and triangulation (across coders) to achieve trustworthiness

Question 5

(lecture):

Describe the thematic analysis process.

Answer 5

(lecture):

• Familiarising yourself with data
  > Intimately knowing the data; analytic insights & observations
  related to whole dataset (transcription)
• Generating themes & codes
  > Attaching meaningful labels (themes) to specific data segments
  > Reviewing potential themes with colleagues
  > Generating a coding scheme
  > Combining, clustering or collapsing codes together into broader themes
• Describing themes in a narrative report
  > Sometimes include thematic map

See slides 39-63 in relevant ppt. for the method.

Question 6

(reading):

Brikci, N., & Green, J. (2007). A guide to using
qualitative research methodology. Field Research
Médecins sans Frontières

Answer 6

(reading):