Qualitative Data Analysis - PowerPoint

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					Qualitative Data
Analysis
Making the Fuzzy Clear
Qualitative Data Are Sexy…

   Rich descriptions
   Explain processes
   Identifiable local contexts
   Lead to new integrations
   Help get beyond initial conceptualizations or
    extend conceptual frameworks
   Consumer experiences are concrete, vivid,
    and meaningful
   Components of Data
   Analysis
                          Data
                         Display
  Data
Collection

                               Conclusions:
               Data              Drawing/
             Reduction           Verifying
Data Reduction

 Selecting, focusing, simplifying
 Before data are collected we are
  already reducing it
 Data reduction occurs
Data Display

   Words or visuals that DESCRIBE
    what you experience (see, hear, taste,
    feel)

   E.g., consensus map that links
    together key constructs; flow charts,
    etc.
Conclusion Drawing and
Verification
   Explanation of what you experienced – this
    is when you take the interpretive leap and
    say this is why I am seeing things this way

   E.g., could link what you say to:
       previous theory
       other contexts
       a new theory on why this is important
       how this helps in practice
Steps in Analysis

   Within Case Analysis

   Cross Case Analysis

   Thematic Displays – an interpretive
    leap!

				
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posted:11/9/2012
language:English
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