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Novel applications of the IDI for longitudinal analysis for the Māori population

Year:
2023
Duration:
12 months
Approved budget:
$31,305.00
Researchers:
Miss Tori Diamond
,
Mr Andrew Sporle
Host:
The University of Auckland
Health issue:
Wellbeing (autonomy self-determination)
Proposal type:
Māori Health Masters Scholarship
Lay summary
My Master’s thesis will involve undertaking longitudinal analysis of official statistics data for Māori. This will involve analysing data from Te Kupenga (the survey of Māori wellbeing) in the StatsNZ Datalab environment to be informed on the determinants of Māori wellbeing throughout time. This will enable an opportunity to learn longitudinal analysis using Māori data in a highly technical and complex environment. This links to my career plan of becoming an applied Māori statistician, with expertise in the Te Kupenga survey and the Integrated Data Infrastructure (IDI).