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Research methods: Qualitative research

What is Qualitative research?

Qualitative data refers to non-numerical information that captures the qualities, meanings, experiences, or concepts behind a phenomenon. It is often gathered through open-ended methods and analyzed through interpretation, thematic exploration, and contextual understanding rather than statistical techniques.

Qualitative data can take various forms, including:

  • Textual data: Information from interviews, focus groups, open-ended survey responses, or documents.
  • Visual data: Photographs, videos, or drawings used to understand cultural or social contexts.
  • Audio data: Recordings of conversations, speeches, or narratives that reveal tone, emphasis, and meaning.
  • Observational data: Field notes or ethnographic records detailing behaviors, settings, and interactions.

This type of data is frequently used in fields such as: Education / Sociology / Psychology / Anthropology / Media and Communication Studies

Choosing a Method for Collecting Qualitative Data

Method Purpose Key Strengths Limitations Example Use
Interviews Explore personal experiences, perceptions, and motivations in depth. • Rich, detailed insights
• Builds rapport
• Allows probing and flexibility
• Time-intensive
• Data may be inconsistent
• Interviewer bias risk
Interviewing recent graduates about job market experiences
Focus Groups Gather group views, norms, and shared experiences through discussion. • Interactive and dynamic
• Broad insights quickly
• Highlights group consensus
• Risk of groupthink
• Requires skilled facilitation
• Scheduling can be difficult
Exploring online learning perceptions among adult learners
Observation Understand real-world behavior and interactions in natural settings. • Captures non-verbal behavior
• Context-rich data
• Reveals unnoticed patterns
• Subjective interpretation
• Observer presence can alter behavior
• Time-consuming
Observing student participation in hybrid classrooms
Case Studies Examine a case (person, organization, event) in depth over time. • Holistic perspective
• Combines multiple sources
• Ideal for complex topics
• Limited generalizability
• Demands extensive documentation
• Resource-heavy
Evaluating the long-term impact of a youth development program
Document / Artifact Analysis Analyze written, visual, or digital materials for meaning and context. • Non-intrusive
• Historical and cultural insight
• Enhances triangulation
• May lack full context
• Interpretation varies
• Relevance must be assessed
Reviewing institutional brochures to examine diversity messaging
Open-Ended Surveys Gather narrative responses from a wide sample using open questions. • Broad reach
• Anonymity increases honesty
• Easy to distribute and collect
• Limited depth without follow-up
• Variable effort from respondents
• Harder to interpret and code
Collecting opinions on e-learning platforms through open-text forms

Data Collection Tools

Data Analysis Software