Real Social Science

Download or Read eBook Real Social Science PDF written by Bent Flyvbjerg and published by Cambridge University Press. This book was released on 2012-04-19 with total page 321 pages. Available in PDF, EPUB and Kindle.

Author	: Bent Flyvbjerg
Publisher	: Cambridge University Press
Total Pages	: 321
Release	: 2012-04-19
ISBN-10	: 9781107000254
ISBN-13	: 1107000254
Rating	: 4/5 (54 Downloads)

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Book Synopsis Real Social Science by : Bent Flyvbjerg

Book excerpt: A new, hands-on approach to social inquiry for social scientists who wish to make a difference to policy and practice.

Real Social Science Related Books

Language: en
Pages: 321

Real Social Science

Authors: Bent Flyvbjerg

Categories: Philosophy

Type: BOOK - Published: 2012-04-19 - Publisher: Cambridge University Press

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A new, hands-on approach to social inquiry for social scientists who wish to make a difference to policy and practice.

Language: en
Pages: 308

Real Social Science

Authors: Bent Flyvbjerg

Categories: Electronic books

Type: BOOK - Published: 2012 - Publisher:

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"Real Social Science presents a new, hands-on approach to social inquiry. The theoretical and methodological ideas behind the book, inspired by Aristotelian phr

Language: en
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Making Social Science Matter

Authors: Bent Flyvbjerg

Categories: Social Science

Type: BOOK - Published: 2001-01-15 - Publisher: Cambridge University Press

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New approach demonstrating how social science can be successful, focusing on context, values, and power.

Language: en
Pages: 398

Rocking Qualitative Social Science

Authors: Ashley T. Rubin

Categories: Social Science

Type: BOOK - Published: 2021-08-03 - Publisher: Stanford University Press

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Unlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold.

Language: en
Pages: 327

Maximum Likelihood for Social Science

Authors: Michael D. Ward

Categories: Political Science

Type: BOOK - Published: 2018-11-22 - Publisher: Cambridge University Press

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Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.