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INTERPRETIVE RESEARCH - Coggle Diagram
INTERPRETIVE RESEARCH
Characteristics of Interpretive Research
Naturalistic Inquiry
Study phenomena in their natural setting
Context is inseparable from phenomenon
Researcher as Instrument
Researcher is embedded in context
Uses personal insight, empathy, observational skill
Must manage own biases
Interpretive Analysis
First-level: participants’ subjective viewpoints
Second-level: meaning behind participant experiences
Produces thick description (rich narrative)
Use of Expressive Language
Capture verbal & non-verbal cues
Use metaphors, imagery, sarcasm
Show emotion, lived experience
Temporal Nature
Understand phenomena over time
Requires long-term immersion
Hermeneutic Circle
Iteration between parts (data) and whole (context)
Continue until theoretical saturation reached
Foundations of Interpretive Research
Purpose & Logic
Designed for theory building (inductive)
Opposite of positivist research, which tests existing theory
Researcher derives theory from observed data
Difference From Qualitative Research
Interpretive = paradigm (ontology + epistemology)
Qualitative = type of data (non-numeric)
Ontological Assumptions
Social reality is multiple, subjective
Reality shaped by human experience & social context
Epistemological Assumptions
Cannot separate phenomenon from its context
Must understand through participants’ interpretations
Uses “sense-making” instead of hypothesis testing
Mixed-Mode Data (Qual + Quant)
Interpretive research can include numeric data
Mixed-mode (qual + quant) strengthens insight
Example: Eisenhardt collecting decision time metrics
Challenges of Interpretive Research
Time & Resource Intensive
Too little data → premature conclusions
Too much data → overload / confusion
Requires Highly Skilled Researchers
Must interpret complex social meanings
Must avoid injecting biases
Unequal Credibility of Participants
Hidden agendas, politics, unreliable narrators
Requires building trust
Limited Generalisability
Context-specific → not easily transferrable
May Fail to Answer Research Questions
Sometimes insights unclear or incomplete
Distinctions Between Interpretive & Positivist Research
Sampling Strategy
Interpretive → theoretical sampling (fit to phenomenon)
Positivist → random sampling (aim: generalisability)
Convenience samples acceptable in interpretive research
Role of the Researcher
Interpretive researcher is part of the context
Must acknowledge biases, influence, positioning
Positivist researcher is external, independent
Nature of Analysis
Interpretive → holistic, contextual, meaning-based
Positivist → reductionist, variable-based, statistical
Iterative Process
Data collection & analysis happen simultaneously
Research questions can be modified during the study
Not allowed in positivist research
Benefits of Interpretive Research
Uncover Hidden Social Processes
Politics, culture, informal communication, relationships
Useful for Areas With Little Prior Theory
Helps build new constructs
Suitable for Unique or Context-Specific Phenomena
Helps Discover New Research Questions
Interpretive Research Designs
Case Research
Interpretive or positivist
Researcher is neutral observer
Depends on researcher’s observational & integrative abilities
Action Research
Nature
Qualitative but positivist
Theory testing via intervention
Researcher is an active participant
Purpose
Solve organisational problem
Learn from action-outcome relationship
Distinction
Different from consulting → includes theory-building
Different from other methods → includes intervention
Participatory Action Research (Susman & Evered)
Diagnosing – define problem in context
Action Planning – generate alternatives using theory
Action Taking – implement solution
Evaluating – determine effectiveness
Learning – reflect, refine theory
Cycle should repeat at least twice
Primary data: participant observation
Ethnography
Nature
Rooted in anthropology
Long immersion (8 months–2 years)
Deep understanding of culture
Data Collection
Participant observation
Field notes, interactions, daily life recording
Researcher’s Role
Must become part of the culture
Provide narrative that allows readers to “experience” culture
Examples
Jane Goodall (chimpanzee behaviour)
Bluebond-Langer (families of chronically ill children)
Phenomenology
Purpose
Study conscious experience
Understand meaning behind judgments, actions, emotions
Requirements
Eliminate bias
Empathise deeply
Enter participant’s psychological world
Giorgi & Giorgi’s Existential Phenomenological Method
Data Collection:
Interviews about lived experience
Transcription
Data Analysis:
Read transcripts for holistic understanding
Identify units of significance (e.g., felt-space, felt-time)
Consider temporal landscape (past, present, future)
Researcher imaginatively “lives” participant’s life
Produce narrative/themes reflecting layered meaning
Rigor in Interpretive Research (Lincoln & Guba)
Dependability
Similar to reliability
Requires detailed account of context and interpretation
Credibility
Equivalent to internal validity
Achieved via:
Long engagement
Triangulation
Clear data records and methodology
Confirmability
Equivalent to objectivity
Based on intersubjectivity (participant agreement)
Transferability
Equivalent to external validity
Requires thick description
Allows readers to judge applicability to other contexts
Interpretive Data Collection Techniques
Interviews
Face-to-face, telephone, focus group
Observation
Direct observation (neutral, external)
Participant observation (researcher participates; affects phenomenon)
Documentation
Internal memos, emails, reports
Newspaper articles, websites
Corroboration tool