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