Indigenous statistics : a quantitative research methodology / Maggie Walter, Chris Andersen.
"In the first book ever published on Indigenous quantitative methodologies, Maggie Walter and Chris Andersen open up a major new approach to research across the disciplines and applied fields. While qualitative methods have been rigorously critiqued and reformulated, the population statistics relied on by virtually all research on Indigenous peoples continue to be taken for granted as straightforward, transparent numbers. This book dismantles that persistent positivism with a forceful critique, then fills the void with a new paradigm for Indigenous quantitative methods, using concrete examples of research projects from First World Indigenous peoples in the United States, Australia, and Canada. Concise and accessible, it is an ideal supplementary text as well as a core component of the methodological toolkit for anyone conducting Indigenous research or using Indigenous population statistics"-- Provided by publisher.
Record details
- ISBN: 9781611322927
- ISBN: 1611322928
- ISBN: 9781611322934
- ISBN: 1611322936
- ISBN: 1611322944
- ISBN: 9781611322941
- ISBN: 9781611326970
- ISBN: 1611326974
- Physical Description: 158 pages : illustrations ; 24 cm
- Publisher: New York, NY : Routledge, 2016, c2013.
- Copyright: ©2013
Content descriptions
- Bibliography, etc. Note:
- Includes bibliographical references (pages 137-150) and index.
- Formatted Contents Note:
- Introduction -- Chapter 1. Deficit Indigenes -- Chapter 2. Conceptualizing Quantitative Methodologies -- Chapter 3. The Paradigm of Indigenous Quantitative Methodologies -- Chapter 4. Nayri Kati ("Good Numbers") -- Chapter 5. Indigenous Quantitative Methodological Practice: Canada -- Chapter 6. Conclusion: Indigenous Peoples and Statistics.
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Available copies
- 0 of 1 copy available at Northwest Indian College.
Holds
- 0 current holds with 1 total copy.
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Location | Call Number / Copy Notes | Barcode | Shelving Location | Status | Due Date |
---|---|---|---|---|---|
Lummi Library | GN 380 .W35 2013 | 289097 | Stacks | Checked out | 06/27/2019 |
Electronic resources
Related Resource: http://hdl.library.upenn.edu/1017.12/366287
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