26/06/2025
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📌Common Methods of Data Analysis used in Qualitative Research:
1. Thematic Analysis
📌Description: Identifying, analyzing, and reporting patterns (themes) within data.
📌Steps:
📍Familiarization with data
📍Generating initial codes
📍Searching for themes
📍Reviewing themes
📍Defining and naming themes
📍Writing the report
📍Use case: Widely used across many disciplines; suitable for interview and focus group data.
2. Content Analysis
📍Description: Systematic coding and categorizing to explore large volumes of textual information.
📍Types: Can be conventional, directed, or summative.
📍Use case: To quantify qualitative data, identify frequency of certain words or concepts.
3. Grounded Theory
📍Description: Developing a theory grounded in data systematically gathered and analyzed.
📍Process: Uses open coding, axial coding, and selective coding.
📍Use case: When the goal is to develop a new theory or model from the ground up.
4. Narrative Analysis
📍Description: Analyzing stories and personal accounts to understand how people make sense of events.
📍Use case: Biographical studies, life histories, and identity research.
5. Discourse Analysis
📍Description: Examining language use, communication, and the way knowledge and meaning are constructed.
📍Focus: Language, context, and social interaction.
📍Use case: Media texts, political speeches, institutional discourse.
6. Phenomenological Analysis
📍Description: Exploring how individuals perceive and make sense of their experiences.
📍Use case: Research focused on lived experiences
7. Framework Analysis
📍Description: Systematic method involving summarizing data in a matrix to identify patterns.
📍Use case: Common in policy research and public health.
8. Case Study Analysis
📍Description: In-depth examination of a single case or multiple cases over time.
📍Use case: Education, health, organizational studies.