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Qualitative Research Data Analysis

Qualitative Research Data Analysis. Mary Jean Ronan Herzog Ann Alexander Western Carolina University Educational Leadership & Foundations Scholarship of Teaching and Learning Day Waynesville Country Club February 21, 2009 mherzog@wcu.edu aalexander@wcu.edu.

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Qualitative Research Data Analysis

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  1. Qualitative Research Data Analysis Mary Jean Ronan Herzog Ann Alexander Western Carolina University Educational Leadership & Foundations Scholarship of Teaching and Learning Day Waynesville Country Club February 21, 2009 mherzog@wcu.edu aalexander@wcu.edu

  2. The Qualitative Research Continuum Reductive ………………….. Holisitic Structured ………………….Intuitive

  3. Form of Data Collection Interviews, focus groups, and questionnaires Observations Documents, portfolios, journals Audiovisual materials Type of Data Transcriptions of open-ended interviews or questions Fieldnotes and drawings Notes about documents or scanned documents Pictures, photographs, videotapes, objects, sounds Types of Qualitative Data

  4. Step 1: Collect Good Data • Tape record and transcribe interviews • Take fieldnotes during interviews and observations • Fieldnotes include both observations and impressions • Take or draw pictures during observations • Keep a journal and/or log during the research study.

  5. Levels of Analysis • Whole – Parts – Whole • Data Reduction • Data Synthesis • Data Display • Conclusion Drawing/Verification • Case Analysis • Cross Case Analysis

  6. Analysis is an Iterative Process That occurs During data collection process Immediately after an interview or site visit Simultaneously Continues till the end of the project

  7. Constant Comparison Method Recursive process of: • Comprehension • Interpretation • Deconstruction • Synthesis

  8. Basic Steps in Analysis • Read and reread raw data • Listen and listen again to the interviews, videos, etc. • Watch and watch again the videos, photos, documents, etc.

  9. Open Coding Naturalistic

  10. Ask: What Jumps Out at You? Look/listen for • Issues • Recurring events • Repetition • Significant statements

  11. Manual Analysis • Write margin notes • Write memos • Cut text into individual segments • Color code • Sort into discreet units • Group commonalities (within and across cases)

  12. Intuitive Dimensions Develop: • Hunches • Hypotheses • Codes • Categories • Conclusions • Summaries

  13. Qualitative Findings Themes Patterns Concepts Insights Understandings

  14. Accuracy of Findings • Referential Adequacy • Triangulation • Member checking • External audit

  15. Representing Findings • Text • Direct quotes • Comparison table or matrix • Hierarchical tree diagram • Figures and flowcharts • Maps

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