Methods of data discussion

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  • Data linkage – compare and contrast data
  • Literature linkage – link data with existing literature
  • Sentiments linkage – link data with current sentiments expressed by policy makers, on social media, in community talks etc
  • Philosophy linkage – examine the philosophy on which the research was founded or guided
  • Theory linkage – examine the theory or theories on which the research was founded or guided, what needs to change, can you come up with a new theory
  • Model or framework linkage – examine the model or frameworks on which the research was founded or guided, what needs to change, can you come up with a new policy
  • Colonial knowledge delinkage – what is colonial, what can it be decolonised 
  • Policy linkage – examine policies, what new measures are required
  • Practice linkage – examine usefulness for practice, what needs to change
  • Methodology linkage – examine the methods in detail
  • Indigenous knowledge linkage – what is missing
  • Researcher linkage – sometimes called positionality, how did your person impact the research and data 
  • Knowledge checking approach/Shared knowledge approach – share reports with knowledge holders, leaders or participants before publication
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