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Qualitative Research
          Methods 1I
        March 31st 2011, KU Leuven
                       Jason Rutter
Overview
Managing your research                9.00-10.15

Analysis of your data                 10.30-12.00

Writing your qualitative chapters     1.00-3.00

Planning for questions                3.15-17.00

   Emphasis on individual development and feedback
Managing your research

Analysis of your data

Writing your qualitative chapters

Planning for questions
Undertaking Research




Getting In : Getting On : Getting Out
What can go wrong?
No access
            Participants don’t show
        Recording equipment does work
                    Lost data
              Lose key informant
               Promoter leaves
            External events change
                      etc...


These must be planned for and the risk managed.
Exercise
In groups:

       List potential challenges that might arise.
              How can these be avoided?
           What can be done if they happen?


       Problem       Manage Risk        Solution
Managing your research

Analysis of your data

Writing your qualitative chapters

Planning for questions
Analysing your research
Establish                  Design
 Questions                 Collection




                            Develop
Collect Data   Code Data
                           Categories




                Write
Tackling your data
Capturing:
Field notes, transcripts, pictures, personal




                                                     Growing Familiarity
responses, etc.

Segmenting:
Arrange in meaningful chunks

Coding:
Identify themes, concepts, patterns, relationships

Categorising:
Grouping the themes you have identified
Exercise
What are the units of your data?
List the ‘what?’, ‘who?’, ‘when’?, ‘how’ and, finally, ‘why?’
       How can you tell these using your story?
Managing your research

Analysis of your data

Writing your qualitative chapters

Planning for questions
Writing your research
Identify the key points in your story
 Use those to organise your data chapters

• How does this chapter fit into your story?
• What is the theoretical background?
• What does you data suggest?
• How can this be illustrated?
• What is the outcome of this?
Establish                  Design
 Questions                 Collection




                            Develop
Collect Data   Code Data
                           Categories




                Write
Establish      Review       Design
 Questions     Literature   Collection




                             Develop
Collect Data   Code Data
                            Categories




 Theorise       Write
The Hypothesis-Test-Discuss model
is poorly suited to qualitative research
Exercise
As a group:



  • What does a PhD look like?
  • What is its purpose?
  • If you were reviewing a PhD what
     would you look for?
Managing your research

Analysis of your data

Writing your qualitative chapters

Planning for questions
Planning for questions
Summarise each page of your PhD in a sentence
  Be able to explain your PhD in 30 seconds
          Know the story of your PhD
  Identify the key points you want to convey


Remember you are there to talk about your PhD
Ask ‘why’
three times...

  At least... Maybe five or even seven!
Exercise
• Use you summaries, stories & questions to structure
  your answers.
• Bullet key points you can delivery quickly.
• Know where you sentence is going to end.
• Use examples from your PhD.
• Be able to refer to other work (carefully).
• Why did you choose this qualitative approach?
• What are the key weaknesses of your methods?
• How would you do it differently?
• What ways does you PhD move the field forward?
Establish      Review       Design
 Questions     Literature   Collection




                             Develop
Collect Data   Code Data
                            Categories




                                  PhD
                                      !
 Theorise       Write
The Hypothesis-Test-Discuss model
is poorly suited to qualitative research
Summary
• Juliet Corbin & Anselm Strauss, Basics of Qualitative Research:Techniques
    and Procedures for Developing Grounded Theory
•   Norman Denzin & Yvonna Lincoln, The SAGE Handbook of Qualitative
    Research
•   David Silverman, Doing Qualitative Research
•   Scott VanderStoep & Deidre Johnson, Research Methods For Everyday Life:
    Blending Qualitative and Quantitative Approaches
Jason.Rutter@soc.kuleuven.be

http://www.slideshare.net/Jasieboy

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Qualitative Methods Workshop Day 2

  • 1. Qualitative Research Methods 1I March 31st 2011, KU Leuven Jason Rutter
  • 2. Overview Managing your research 9.00-10.15 Analysis of your data 10.30-12.00 Writing your qualitative chapters 1.00-3.00 Planning for questions 3.15-17.00 Emphasis on individual development and feedback
  • 3. Managing your research Analysis of your data Writing your qualitative chapters Planning for questions
  • 4. Undertaking Research Getting In : Getting On : Getting Out
  • 5. What can go wrong?
  • 6. No access Participants don’t show Recording equipment does work Lost data Lose key informant Promoter leaves External events change etc... These must be planned for and the risk managed.
  • 8. In groups: List potential challenges that might arise. How can these be avoided? What can be done if they happen? Problem Manage Risk Solution
  • 9. Managing your research Analysis of your data Writing your qualitative chapters Planning for questions
  • 11. Establish Design Questions Collection Develop Collect Data Code Data Categories Write
  • 12. Tackling your data Capturing: Field notes, transcripts, pictures, personal Growing Familiarity responses, etc. Segmenting: Arrange in meaningful chunks Coding: Identify themes, concepts, patterns, relationships Categorising: Grouping the themes you have identified
  • 14. What are the units of your data? List the ‘what?’, ‘who?’, ‘when’?, ‘how’ and, finally, ‘why?’ How can you tell these using your story?
  • 15. Managing your research Analysis of your data Writing your qualitative chapters Planning for questions
  • 17. Identify the key points in your story Use those to organise your data chapters • How does this chapter fit into your story? • What is the theoretical background? • What does you data suggest? • How can this be illustrated? • What is the outcome of this?
  • 18. Establish Design Questions Collection Develop Collect Data Code Data Categories Write
  • 19. Establish Review Design Questions Literature Collection Develop Collect Data Code Data Categories Theorise Write
  • 20. The Hypothesis-Test-Discuss model is poorly suited to qualitative research
  • 22. As a group: • What does a PhD look like? • What is its purpose? • If you were reviewing a PhD what would you look for?
  • 23. Managing your research Analysis of your data Writing your qualitative chapters Planning for questions
  • 25. Summarise each page of your PhD in a sentence Be able to explain your PhD in 30 seconds Know the story of your PhD Identify the key points you want to convey Remember you are there to talk about your PhD
  • 26. Ask ‘why’ three times... At least... Maybe five or even seven!
  • 28. • Use you summaries, stories & questions to structure your answers. • Bullet key points you can delivery quickly. • Know where you sentence is going to end. • Use examples from your PhD. • Be able to refer to other work (carefully).
  • 29. • Why did you choose this qualitative approach? • What are the key weaknesses of your methods? • How would you do it differently? • What ways does you PhD move the field forward?
  • 30. Establish Review Design Questions Literature Collection Develop Collect Data Code Data Categories PhD ! Theorise Write
  • 31. The Hypothesis-Test-Discuss model is poorly suited to qualitative research
  • 33. • Juliet Corbin & Anselm Strauss, Basics of Qualitative Research:Techniques and Procedures for Developing Grounded Theory • Norman Denzin & Yvonna Lincoln, The SAGE Handbook of Qualitative Research • David Silverman, Doing Qualitative Research • Scott VanderStoep & Deidre Johnson, Research Methods For Everyday Life: Blending Qualitative and Quantitative Approaches