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Chapter 18 Qualitative Research: Data Analysis and Interpretation,…
Chapter 18
Qualitative Research: Data Analysis and Interpretation
Definitions and Purpose
Data Analysis
Summarize data dependably
Present findings with undeniability
Organize, categorize, synthesize, write
Data Interpretation
Find meaning in data
Answer "So what?" question
Conceptual and integrative thinking
Data Analysis Timing
During Data Collection
Ongoing reflection and analysis
Narrow topic progressively
Avoid premature conclusions
After Data Collection
Intensive examination
Inductive process
Multistage, iterative
Steps in Analyzing Data
Reading/Memoing
Initial reading with notes
Identify early themes
Describing
Detailed participant & setting description
Contextual understanding
Classifying
Break data into units
Coding & categorizing
Iterative refinement
Data Analysis Strategies
Identifying Themes
Coding
Asking Key Questions
Organizational Review
Concept Mapping
Analyzing Antecedents & Consequences
Displaying Findings
Stating What’s Missing
Digital Tools
NVivo 9.0
The Ethnograph v6
HyperRESEARCH 3.0
Software assists but doesn’t replace analysis
Data Interpretation Strategies
Extend Analysis (raise questions)
Connect with Personal Experience
Seek Advice from Critical Friends
Contextualize in Literature
Use Theory for abstraction
Know When to Stop
Share Interpretations Wisely
Ensuring Credibility
Own observation vs hearsay
Corroborate observations
Consider circumstances
Assess reliability & motivations
Reflect on biases
Summary
Iterative and reflective process
Researcher must know data intimately
Coding & categorizing essential
Interpretation requires intellectual effort
Credibility depends on rigor and transparency
Name:Cahueñas Gabriela Course: 7 A
