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Understanding the role of positionality, intersectionality, and reflexivity in inclusive research design / Bidushy Sadika.

Sage Research Methods: Inclusive Research Methodologies Available online

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Format:
Book
Author/Creator:
Sadika, Bidushy, author.
Language:
English
Subjects (All):
Intersectionality (Sociology)--Research--Design.
Intersectionality (Sociology).
Positionality (Sociology)--Research--Design.
Positionality (Sociology).
Community-based research--Methodology.
Community-based research.
Physical Description:
1 online resource
Place of Publication:
London : SAGE Publications Ltd, 2026.
Summary:
This guide provides practical insights for integrating positionality, intersectionality, and reflexivity to foster more inclusive research. It emphasizes key stages of the research process: framing research questions, designing studies, engaging participants, and analyzing and interpreting data, while highlighting how reflexive attention to researchers’ positionality, viewed through an intersectional lens, shapes methodological and analytic decisions. By acknowledging the influence of intersecting identities, researchers can improve the transparency and rigor of their studies while remaining and aware of their own role in producing knowledge. Reflexivity throughout the research process, including interactions with participants, helps address power imbalances, while shared identities can make the research environment more inclusive and supportive. The guide also addresses practical and ethical challenges, such as treating positionality as isolated, reducing intersectionality to a simple sum of identities, or dismissing subjective and intersectional knowledge in traditional paradigms. It demonstrates how reflexivity can transparently address these issues and highlights the importance of adapting ethical processes to protect participants’ dignity and well-being. Positionality, intersectionality, and reflexivity are framed as essential tools for ethical, rigorous, and inclusive research.
Notes:
Description based on XML content.
ISBN:
9781036252472
OCLC:
1594889080
Publisher Number:
T302938

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