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Indigenous Statistics: A Quantitative Research Methodology Paperback – 15 September 2013

4.8 out of 5 stars 16 ratings

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Product details

  • Paperback : 159 pages
  • ISBN-10 : 9781611322934
  • ISBN-13 : 978-1611322934
  • Dimensions : 15.24 x 1.27 x 22.86 cm
  • Publisher : Routledge (15 September 2013)
  • Language: : English
  • ASIN : 1611322936
  • Customer Reviews:
    4.8 out of 5 stars 16 ratings

Product description


"Walter and Anderson provide a fresh and critical look at the quantitative data used to describe indigenous people. Their perspective is unique insofar as it brings an indigenous understanding of the inherent limits embedded in these data. This is an exceptional work and I can think of nothing similar to it." --C. Matthew Snipp, Burnet C. and Mildred Finley Wohlford Professor of Humanities and Sciences in the Department of Sociology and Chair of Native American Studies, Stanford University "Indigenous Statistics is a powerful and insightful critique of how apparently 'objective' statistics are used to frame indigenous peoples as objects of demographic inquiry. More than that it offers an alternative vision for how to engage with indigenous statistics through Walter's innovative nayri kati model. Such a book is long overdue. It cannot and ought not be ignored." --Tahu Kukutai, National Institute of Demographic and Economic Analysis / Te Runanga Tatari Tatauranga, University of Waikato "A fascinating contribution to what is known as the decolonization paradigm in multidisciplinary fields, Indigenous Statistics encourages researchers to question the ideological practices that are routinely encoded in quantitative analyses. This ideological character of statistics as properties of the state is even more crucial for indigenous peoples, given the way such records serve to increase the subjugation of the colonized to enhance domination. The book surveys the complicity of statistics in the colonization of indigenous peoples, like those of the authors in Australia (Walter is Trawlwoolway) and Canada (Andersen is Metis). They present the epistemology, paradigm, and practice of indigenous statistics in accessible language. Sociologist Walter (Univ. of Tasmania, Australia) and Native studies professor Andersen (Univ. of Alberta, Canada) reflect what is known as the centered and critical scholar-activist paradigm with specific reference to indigenous studies, but with applicability to every discipline that takes methodology seriously. The book demonstrates that the statistical objectification of indigenous peoples is a project with global implications in societies structured in dominance. The authors challenge all researchers to consider decolonization methodologies. Summing Up: Highly recommended. Undergraduate to faculty and professional users." --CHOICE "[T]his book should be required reading for those who produce quantitative data about Indigenous peoples, not least colonial state officials, for those curious about quantitative methodologies and for those who resist these as "incompatible" with diverse Indigenous worldviews....The book makes an important contribution to debates about the future of Indigenous social sciences as intimately bound up with the possibilities for Indigenous self-determination in and beyond the academy." --Elaine Coburn, Decolonization: Indigeneity, Education and Society

From the Publisher

Maggie Walter is Professor of Sociology and the inaugural Pro Vice-Chancellor of Aboriginal Research and Leadership at the University of Tasmania, Australia.

Chris Andersen is Dean and Professor in the Faculty of Native Studies at the University of Alberta, Canada.

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Mama of 3
5.0 out of 5 stars Excellent for quantitative Indigenous health researchers!
Reviewed in Canada on 30 August 2018
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5.0 out of 5 stars This is a great book. The authors provide excellent review of research ...
Reviewed in Canada on 29 January 2017
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5.0 out of 5 stars Great read
Reviewed in Canada on 5 January 2019
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fred shade
5.0 out of 5 stars Five Stars
Reviewed in Canada on 3 April 2017
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Book Lover
5.0 out of 5 stars Excellent book. Good insights on bias in research (and ...
Reviewed in the United States on 23 June 2018
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