Data analysis, interpretation, and presentation

Data analysis, interpretation, and presentation

1. Qualitative and Quantitative

   • Quantitative
     • Numbers
   • Qualitative
     • Descriptions

2. Simple Quantitative Analysis

   • Average
     • Mean
     • Median
     • Mode
   • Percentage
     • Useful for standardizing
   • Typically arranged in rows and columns
     • Excel
       • Spreadsheets
       • Graphs

3. Simple Qualitative Analysis

   • Identify recurring patterns or themes
   • Categorizing data
     • Data into elements and then into categories
     • Follow a scheme
   • Analyzing critical incidents
     • Identify significant incidents and focus and analyze them in detail

4. Tools to Support Data Analysis

   • Atlas.ti
   • Nvivo
   • SPSS

5. Using Theoretical Frameworks

   • Grounded Theory
     • Qualitative
     • Data is needed to develop the theory
   • Distributed Cognition
     • Emphasizes info and its propagation through the cognitive system under study
   • Activity Theory
     • Focuses around the concept of an activity
       • Individual model
         • Hierarchical
       • Artifactual model
         • Physical or abstract concepts

6. Presenting the findings

   • Rigorous notations
     • Clear syntax and semantics
   • Storytelling
   • Summarizing

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