ANALYZING AND INTERPRETING DATA

ANALYZING AND INTERPRETING DATA

1. 1. Definition and Purpose

   • 1. Data analysis
   • 2. Data interpretation

2. 2. Steps in analyzing qualitative research data

   • Iterative process
     • a. Reading/Memoing
     • b. Describing
     • c. Classifying

3. 3. Data analysis strategies

   • a. Identifying themes
   • b. Coding
   • c. Asking key questions
   • d. Organizational review
   • e. Concept mapping
   • f. Analyzing antecedents and consequences

4. 4. Data interpretation strategies

   • c. Connections and linkages
   • b. Answer four questions
     • 1. What is importan in the data?
     • 2. Why is it important?
     • 3. What can be learned from it?
     • 4. So what?
   • a. Extending the analysis
   • d. Connecting findings with personal experience
   • e. Seeking the advice of critical friends
   • f. Contextualizing the findings
   • g. Turning to theory

5. 5. Ensuring credibility in your study

   • Credibility questions
     • a. Are the data based on one’s own observa tion or on hearsay?
     • b. Are observations corroborated by others?
     • c. In what circumstances was an observation made or reported?
     • d. How reliable are those providing the data?
     • e. What motivations may have influenced a participant’s report?
     • f. What biases may have influenced how an observation was made or reported?

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