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Whakaāria - A Māori approach to reflexive thematic analysis : exploring the active identities of Māori Women / Deborah Heke, Melissa Vera.

SAGE Research Methods: Diversifying and Decolonizing Research Available online

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Format:
Book
Author/Creator:
Heke, Deborah, author.
Vera, Melissa, author.
Series:
SAGE Research methods: diversifying and decolonizing research.
SAGE Research methods: diversifying and decolonizing research
Language:
English
Subjects (All):
Women, Māori--Research.
Women, Māori.
Social sciences--Research.
Social sciences.
Physical Description:
1 online resource : illustrations
Place of Publication:
London : SAGE Publications Ltd, 2024.
Summary:
Whakaāria (to make a likeness or theme) is an adapted method of data analysis that was derived from the tools associated with Braun and Clarke's reflexive thematic analysis (RTA). RTA was intentionally applied with a Māori lens that prioritized Māori concepts of Mātauranga (knowledge processes), Whakapapa (understanding origins/making connections), Huahuatau (sensemaking through metaphor), and Whakatinanatanga (realisation and implementation).The wider research project aimed to draw connections between traits of Māori women and those of Māori feminine deities associated with natural features of the environment (atua wāhine) by using metaphors to describe their ways of being. The research sought to empower the narratives of wāhine Māori and atua wāhine alike, by engaging in conversations and using research methods that would resonate more closely with te ao Māori (a Māori worldview). This method was developed after a series of self-reflections about how Indigenous researchers have a key role to play in demonstrating the legitimacy of Indigenous ways of doing research, in their work. This case study presents the process by which this method was conceptualised, developed, and eventually applied. It also offers future users some recommendations derived from each of those processes and a challenge to implement it in their own unique future projects.
Notes:
Description based on XML content.
ISBN:
1-5296-8161-8
9781529681611
OCLC:
1428170108

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