Data Analysis, Interpretation and Presentation

Data Analysis, Interpretation and Presentation

1. Qualitative and Quantitative

   • Qualitative data
     • Not expressed in numerical terms
   • Quantitative Data
     • Numbers or translatable into numbers
   • Data Gathering
     • Interviews
     • Questionnaires
     • Observation

2. Quantitative Analysis

   • Mean, median, mode
   • Analyzable data sets
   • Graphical representations
   • Data logs

3. Qualitative analysis

   • Identify recurring patterns and themes
     • Affinity diagram
   • Categorize data
     • Rigid categorization scheme
     • Think-aloud protocol
     • Content analysis
     • Discourse analysis
   • Looki for critical incidents
     • Facts regarding behavior
     • Only relevant. significant behaviors

4. Tools

   • Spreadsheets
   • Nvivo
   • Atlas.ti
   • SPSS

5. Theoretical Frameworks

   • Grounded theory
     • Develop theory that fits set of data
     • Alternate between data collection and analysis
     • Data coding
       • Open
       • Axial
       • Selective
   • Distributed cognition
     • Event-driven description
   • Activity theory
     • Individual model
       • Operation = Conditions
         • Action = Goal
           • Activity = Motive
     • Role of Artifacts
       • Artifacts involved in activity mediate between its elements
       • Hard to understand what should be activity or action

6. Presenting the Findings

   • Rigorous notations
   • Using stories
   • Summarizing

7. Pedro Fernando Villezca Garza A01282613

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