Questions for Chapter 8 of Interaction Design, "Data Analysis, Interpretation, and Presentation" by Yvonne Rogders, Helen Sharp, and Jennifer Preece:
  1. What are some factors that determine the type of analysis that will be performed on gathered data?
  2. What are the general approaches to data analysis? How do they differ from one another? In what situations can they be combined to compliment each other?
  3. What are some common mistakes that occur during data analysis? What are some methods for avoiding those mistakes?
  4. What is quantitative data? How does it differ from qualitative data?
  5. What are some potential problems with presenting qualitative data in numerical form?
  6. What is the purpose of quantitative data analysis?
  7. What kinds of raw data typically result from interviews, questionnaires, and observation data gathering activities?
  8. What are the differences between open and closed questions? What are some examples of qualitative and quantitative data that can be extracted from each question type?
  9. How can the design of data gathering activities (e.g., questions) affect the kind of data produced? How can this affect analysis?
  10. What are some tools that can make the process of data analysis easier?
  11. What is the importance of categorizing data in qualitative data analysis?
  12. What are some advantages of employing a theoretical framework in data analysis? What are some of challenges of doing this?
  13. What are the grounded theory, distributed cognition, and activity theory frameworks? How do they differ? How can they help guide data analysis?
  14. What are some factors that influence how data will be presented to a particular audience?
  15. What are different methods for presenting data? How can the type of data gathered influence the choice of methods used to present data? How can the presentation of data influence understanding, reception, and impact of the research findings?