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.