Community Quality-of-Life Indicators : A Guide for Community Indicators Projects
Second Edition 2026
Book Details
Format
Multiple-Item Product, Part(s) Enclosed
Book Series
Community Quality-of-Life and Well-Being
ISBN-10
303221050X
ISBN-13
9783032210500
Edition
Second Edition 2026
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 14th, 2026
Print length
206 Pages
Product Classification:
Social groups, communities and identitiesSocial groupsSociologySocial research & statisticsSocial research and statisticsSocial welfare & social servicesSocial welfare, social policy and social servicesSocial workSocial, group or collective psychologyIndigenous people: governance and politicsRegional governmentPersonal & public healthPersonal and public health / health education
Ksh 19,800.00
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The second edition of this training book, which comes with a complementary online course, is designed to help community indicator researchers (and those stepping into this position) enhance their professional knowledge of the subject.
The second edition of this training book, which comes with a complementary online course, is designed to help community indicator researchers (and those stepping into this position) enhance their professional knowledge of the subject. The book is divided into three major parts: Introduction, Planning, and Implementation. It undertakes two approaches to indicator planning and development: a top-down versus a bottom-up approach. The top-down approach involves understanding the various theoretical approaches that guide indicator selection, such as human development, utilitarianism, opulence, social justice, sustainability, etc. In contrast, many community indicators researchers use a more political process to guide indicator selection. The book refers to this approach as “bottom-up”—a process guided by politics and the interests of the various stakeholders involved in an indicators project. The new edition expands on this approach and incorporates much of the latest research and practice related to data mining, data management, and technical aspects of “big data”. It also includes adjustments and updates to cases, making this a must-read textbook and guide for anyone interested in enhancing their competence in community indicators research.
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