Qualitative Methods in Social Work: Techniques, Ethics & Analysis

TAKEAWAYS:

• Qualitative research in social work prioritizes meaning-making (not numbers) through narratives, observations, and reflexivity, using methods like in-depth interviews or participant diaries to uncover lived experiences (e.g., child laborers in Kathmandu’s brick kilns).
• Three core paradigms (phenomenology, grounded theory, ethnography) differ in their ontology (what’s real?) and methodology (how to study it?), with Prachya Darshan (eastern epistemology) emphasizing holistic, context-sensitive analysis over Western reductionism.
• Data analysis shifts from statistical tests to thematic coding (e.g., Nvivo software) and member checking—where participants validate findings—critical for ethical rigor in vulnerable populations (e.g., sex workers in Pokhara).
• Ethical challenges include power imbalances (e.g., researchers interviewing Dalit women), anonymity risks in small communities, and reflexivity (acknowledging the researcher’s bias, like a Hindu social worker studying Buddhist communities).
• Real-world tools: WhatsApp voice notes for rural interviews (Pathao drivers), Khalti’s transaction logs as ethnographic data, or NTC’s call-center recordings for discourse analysis.
• Exam trap: Distinguish qualitative designs (exploratory) from quantitative (confirmatory)—e.g., a case study of a single shelter vs. a survey of 100 shelters.

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1. Defining Qualitative Research in Social Work

Qualitative research in social work is interpretive, context-bound, and emergent, focusing on how people experience and make sense of their social worlds. Unlike quantitative methods (which measure variables like "number of homeless families"), qualitative research asks:

• "What does it mean to be a single mother in Bhaktapur?"
• "How do migrant workers in Qatar navigate remittance stress?"

Key Features:

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2. Core Qualitative Paradigms in Social Work

Three dominant paradigms shape how social workers frame reality and collect data. Each has ontological (what’s real?) and epistemological (how do we know?) assumptions.

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3. Data Collection Techniques

Qualitative methods rely on unstructured or semi-structured tools to capture depth over breadth.

A. In-Depth Interviews

• How it works: Open-ended questions (e.g., "Tell me about a time you felt discriminated against").
• Example: A social worker interviewing a Kamaiya (debt-bonded laborer) in Chitwan about his work conditions.
• Tools:
  • Audio/Video: WhatsApp voice notes for rural areas (e.g., interviewing herbal healers in Darchula).
  • Photo Elicitation: Participants bring photos of their struggles (e.g., child labor in brick kilns).

B. Focus Group Discussions (FGDs)

• How it works: Group dynamics reveal shared narratives (e.g., LGBTQ+ youth in Kathmandu discussing stigma).
• Advantages:
  • Snowball sampling: One participant refers others (e.g., drug users in Thamel).
  • Peer validation: Group consensus strengthens findings.
• Disadvantages:
  • Dominant voices (e.g., a loud participant silences others).
  • Social desirability bias (e.g., hiding HIV status in conservative groups).

C. Participant Observation

• How it works: Researchers immerse themselves in a setting (e.g., living with a single mother in Lalitpur for 6 months).
• Example: Studying Pathao drivers’ mental health by riding with them daily.
• Ethical Note: Informed consent must cover data ownership (e.g., will the driver’s route data be shared?).

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4. Qualitative Data Analysis: Brahma Darshan vs. Prachya Darshan

Western Brahma Darshan (reductionist) and Prachya Darshan (holistic) approaches differ in how they code and interpret data.

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5. Ethical Challenges in Qualitative Research

Qualitative research amplifies ethical dilemmas due to its close relationships with participants.

A. Power Imbalances

• Example: A Brahmin social worker interviewing a Dalit widow in a village.
  • Risk: Participant may withhold truths to avoid conflict.
  • Solution: Reflexivity statements (e.g., "I acknowledge my privilege as a male researcher").

B. Anonymity vs. Advocacy

• Dilemma: Should you name a corrupt official exposed in your study?
  • Nepalese Context: NTC whistleblowers face retaliation—how to protect them?
  • Solution: Pseudonyms + data sharing agreements with NGOs (e.g., INSEC).

C. Reflexivity

• How it works: Researchers document their biases (e.g., "I am a feminist, so I may over-emphasize gender oppression").
• Tool: Research diary with entries like:

  "Day 45: I cried during an interview with a child soldier. Did my emotions affect my notes?"

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In the Real World

Qualitative methods power Nepal’s social sector and global tech platforms in ways students encounter daily:

1. eSewa & Khalti: Discourse Analysis of Digital Transactions

   • Method: Ethnographic interviews with Khalti agents in rural areas reveal how digital literacy gaps create new forms of exclusion (e.g., elderly users struggling with QR codes).
   • Example: A study found that 30% of Khalti transactions in Sindhupalchowk fail due to language barriers (Dhimal vs. Nepali interface).

2. Pathao & Uber: Participant Observation of Gig Worker Mental Health

   • Method: Shadowing drivers for 24-hour shifts to document stress triggers (e.g., police harassment, passenger abuse).
   • Finding: Drivers in Kathmandu’s chaotic traffic report higher PTSD symptoms than those in Pokhara (less congestion).

3. NTC Call Centers: Conversation Analysis of Customer Complaints

   • Method: Transcribing and coding call recordings to identify patterns in service failures (e.g., repeated delays in landline repairs).
   • Policy Impact: Led to NTC’s 2023 "Complaint Escalation Protocol" for urgent cases.

4. Nepal Police: Grounded Theory on Domestic Violence Cases

   • Method: In-depth interviews with female constables in Dharan and Biratnagar to develop a theory on gender bias in policing.
   • Outcome: Influenced Nepal Police’s 2022 "Sensitive Handling Guidelines" for women victims.

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6. Worked Example: Thematic Analysis of Child Labor in Brick Kilns

Research Question: "How do child laborers in Siraha’s brick kilns perceive their work?"

Step 1: Data Collection

• Method: Participant observation (3 months) + photo elicitation (children drew their daily routines).
• Tools:
  • Audio recordings (with consent).
  • Field notes (e.g., "Child X refused to speak; drew a stick figure with chains").

Step 2: Coding (Prachya Darshan Approach)

Step 3: Ethical Safeguards

• Anonymity: Children coded as C1, C2 (not real names).
• Advocacy: Shared findings with Child Workers in Nepal Concern (CWIN).
• Reflexivity: Acknowledged middle-class researcher’s discomfort with kiln conditions.

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7. Qualitative vs. Quantitative: When to Use Which

Exam Tip: Always compare the two in answers. Example:

"While a quantitative survey could measure the number of homeless families in Kathmandu, a qualitative study would reveal why they’re homeless—e.g., land grabs by elites or mental health crises."

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8. Common Pitfalls in Qualitative Research

Students often make these mistakes in exams:

1. Treating Qualitative Data as "Soft"

   • ❌ "This is just opinion."
   • ✅ "Themes emerged from triangulated data (interviews + observations + documents)."

2. Ignoring Reflexivity

   • ❌ "I was neutral."
   • ✅ "As a male researcher, I may have understood women’s experiences differently—hence, I used female co-researchers."

3. Overgeneralizing

   • ❌ "All Dalits in Nepal face this."
   • ✅ "This study’s findings apply to Dalit women in the Terai, but may differ in mountain regions."

4. Poor Data Triangulation

   • ❌ "Only used interviews."
   • ✅ "Cross-checked interview data with government records and NGO reports."

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Exam Tip

Qualitative questions in TU/PU exams test:

1. Definitions: Know the difference between methodology and method (e.g., "Methodology = overall approach; Method = interview guide").
2. Ethics: Always link ethical challenges to real-world examples (e.g., "In a study on Kathmandu’s sex workers, anonymity is hard because small communities know each other").
3. Analysis Techniques: Describe how you’d code data (e.g., "I’d use open coding for initial themes, then axial coding to link them").
4. Critiques: Qualitative research is often accused of being "unscientific"—counter this by emphasizing rigor (e.g., "Triangulation ensures validity").

Sample High-Scoring Answer Starter:

"Qualitative research in social work employs interpretive paradigms like phenomenology to uncover lived experiences, such as those of child brides in Nepal. Using in-depth interviews and photo elicitation, researchers can thematically analyze data through Prachya Darshan’s holistic lens, linking caste oppression to mental health outcomes. Ethical challenges include power imbalances (e.g., a Brahmin researcher studying Dalit trauma), mitigated via reflexivity and community validation. Unlike quantitative methods, qualitative research prioritizes depth over breadth, making it ideal for exploratory studies like Pathao drivers’ mental health—where participant observation reveals systemic stressors like police harassment."

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Visual Summary: