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picture1_Analysis Ppt 75855 | Uwe Braun Clarke Hayfield Qualitative Research Design Part 3 Slides


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File: Analysis Ppt 75855 | Uwe Braun Clarke Hayfield Qualitative Research Design Part 3 Slides
powerpoint slides from the braun clarke hayfield qualitative methods online teaching learning resources collaboration qmotlrc topic overview ounderstanding the different considerations that inform qualitative research design ounderstanding what constitutes robust ...

icon picture PPTX Filetype Power Point PPTX | Posted on 02 Sep 2022 | 3 years ago
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   PowerPoint slides from the Braun, Clarke & Hayfield 
   Qualitative Methods Online Teaching & Learning 
   Resources Collaboration (QMOTLRC)
   Topic overview
   oUnderstanding the different considerations that inform qualitative 
    research design
   oUnderstanding what constitutes robust and coherent qualitative 
    research design
   oThere are a series of optional ‘pauses for reflection’ throughout the 
    lectures – you can pause the audio-lecture and work through the 
    questions on the slide. The various ‘pauses for reflection’ will take 
    you through the process of designing a qualitative study (and help 
    you to reflect on the extent of your existing knowledge of the range 
    and diversity of qualitative methods and to identify areas where 
    you need to learn more).
   Lecture overview
   oPart 1: Design principles and research questions
   oPart 2: Methods of data collection, ‘sampling’ and 
   recruitment
   oPart 3: Data analysis and ethics
   Pause for reflection 1
   • Returning to your qualitative research project, identify 
    potential appropriate analytic approaches based on your 
    existing knowledge and experience of qualitative data 
    analysis, and select the approach you think is most 
    appropriate and/or the one you feel most confident using.
    • Why is this approach a good choice? 
    • Is there more than one version of your chosen 
     approach? If so, which version will you use and why?
    What is qualitative analysis?
    oPoint of analysis:
      • Organise and make sense of 
       the data you’ve collected.
      • Interpret – analysis goes 
       beyond ‘ventriloquy’ (the 
       researcher merely acts as a 
       mouthpiece for the 
       participants).
      • Tell a ‘story’ of the data:
        oDemonstrate patterns 
         across/within accounts.
        oAnalysis and interpretation 
         of meaning.
        oInterrogation of meaning.
        oTheory development.
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