Visual Research in Community Psychology
Relational Ethics
- Relational ethics blurs the line between methodology and methods.
- It uses phronetic knowledge (practical experience).
- Psychologists collaborate with participants to address issues.
- It prioritizes transformative praxis, where research leads to actionable change.
- Relational ethics requires researchers to act with empathy, acknowledge relationships, and take responsibility for their actions (Ellis, 2007, p. 3).
Visual Qualitative Research: Topics
- L1: Making the invisible visible.
- What are visual materials?
- What is considered 'data' in visual qualitative research?
- What are the methods of data collection?
- What should be considered when navigating community relationships?
- L2: Democratizing the method.
- How can research methods be democratized, and why is it important?
- How is the visual conceptualized?
- What does accountability in research look like (e.g., relational ethics)?
- L3 & L4: Bringing order to chaos.
- What are we 'eliciting' through imagery?
- How can images be useful for formulating responses?
- How to bring coherency to data and academic rigor.
Learning Objectives
- Understanding visual qualitative research methods.
- Understanding the types and approaches to visual research.
- Understanding the four ‘R’s of visual research.
- Consideration of when to use visual methods in research.
- How to democratize the method (and why).
The Four ‘R’s of Visual Research Methods
- Researcher-found visual ‘data’.
- Researcher-created visual ‘data’.
- Respondent (or participant)-generated visual ‘data’.
- Representation and visualization of ‘data’ (Jon Prosser & Andrew Clark).
Key Questions for Visual Research
- What am I wanting to find out?
- Who, what, where, when & why?
- How does the visual material (photos, maps…) fit with a broader methodological mix (observations, notes, interviews, discussions, patient records etc.)?
- Status of images & talk?
- Audiences?
- Uses?
Researcher-Found Visual Data
- Visual data is sourced by the researcher based on research goals.
- Visual media is used to explore and understand phenomena.
- Example: Examining the role of media in perpetuating social stigma in debates about sex work and decriminalization in New Zealand.
- Interviews & 2 focus groups of 5-10 participants selected according to age, ethnicity, occupation, and gender profiles to capture diversity.
- Recruited through NZPC (Aotearoa New Zealand Sex Workers' Collective).
- Interviewed by former/current sex workers & sex workers rights advocates (nothing about us, without us).
- Discussed media reports following Ōtautahi/Christchurch earthquakes.
- Risks associated with disclosing a sex worker status to service providers in the aftermath of a disaster.
- The role of media in reproducing stigma discourses.
- Such strategies can trigger an interesting and profound conversation.
Researcher-Created Visual Data
- Visual data is produced by the researcher as part of their project.
- Arts-based projects (Mau Moko book).
- Questions to consider:
- What historical forces shaped the artist’s work, and how do they and their creative output artistic, political, and social events?
- Objects created by different cultures that convey meaning through visual representations.
- Relevant theories: Feminist, Marxist, critical race theory, Indigenous, Queer, and postcolonial theories.
Respondent/Participant-Generated Visual Data: Photo-Elicitation
- Photographs, film, video, drawings, poetry, or objects are introduced as part of an interview.
- The aim is to explore the meaning of the images or objects with research participants.
- Useful as ‘icebreakers’ and breaks down the power differential.
- People are generous with their time and knowledge, and the researcher becomes someone who listens.
- Images/objects act as a neutral or third party.
Respondent/Participant-Generated Visual Data: Photo/Object-Elicitation
- Visual stimuli can be researcher-created, researcher-generated, or researcher-found (e.g., from comics or magazines).
- Use respondents' own cultural artifacts (e.g., favorite clothes, cell phones, icons, books, jewelry, symbols or spaces they frequent).
- People’s own artwork e.g., drawings, doodles, sketches, posters, photographs, or videos they have created for the research ~ maybe also record their creation.
- Intellectual property and ethics should be considered.
Respondent/Participant-Generated Visual Data: Go-Along Interviews
- The “go-along” qualitative interview methodology is useful for studying the health issues of a community within a particular local area or neighborhood (understanding how place matters for health).
- ‘Streeties’ went out to picture their worlds.
- Urban commentators asked to re-transit, re-consider & convey their street lives.
- Experiential knowledge (phronesis).
- The task was not to simply code, analyze & interpret photos, but to theorize how homeless people appropriate mundane spaces (under bridges, alleyways, public toilets) & add new meanings.
- Trying to see homelessness more from people’s own perspectives and use this information to inform responses.
- Imaginative journeys take us out beyond street life.
What Does Homelessness Mean?
- How the public see you – am I a good person (reflection)?
- What is the meaning of my suffering/the hardships I’ve endured?
- What is my connection to the world around me?
- Do things happen for a reason?
- How can I live my life in the best way possible?
Respondent/Participant-Generated Visual Data: Flexible Approach
Adopting a wide range of tools which are modelled on different questions and individually suited to participants’ own preferences:
- Time-lines.
- Self-portraits: draw and write.
- Diaries (paper, electronic, photographic, video).
- Shooting back: participants’ photographs/video, walkabout/shadowing.
Macro, Meso, Micro
- The macro is reproduced in the micro (Or how the social is reproduced through the personal)
- LARGE SYSTEMS
- Nations
- Legal Systems
- Economies
- MEDIUM SYSTEMS
- Organizations
- Communities
- Political Parties
- Ethnic Groups
- SMALL SYSTEMS
- Families
- Relationships
- Individuals
Respondent-Generated Visual Data: Mapping
- This combination of methods is particularly suited where respondents are spatially mobile, and where the research requires a narrative that retains a strong sense of context.
- Provide insights into the practices through which he constructs himself as a socio-geographically located and mobile human being across time and space (cf., Hodgetts et al., 2006).
- We openly discussed our analysis with him.
Why Use Visual Data?
- Rich and symbolic data.
- Eliciting ideas and experiences.
- Documenting and analyzing.
- Facilitating communication.
How Visual Data Might Be Used in Research
- Studying social interactions.
- Understanding organizational culture.
- Exploring mental health.
- Examining cultural practices.
- Researcher or participant-created visual data can be a powerful tool that can be used to explore, document, and analyze a wide range of phenomena in a qualitative research setting.