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Data-Based Child Advocacy: Using Statistical Indicators to Improve the Lives of Children

Data-Based Child Advocacy: Using Statistical Indicators to Improve the Lives of Children

Author: William P. O'Hare
Publisher: Springer-Verlag
ISBN: 9783319078298
Published In: August 2014
Format: Paperback
Jurisdiction: Switzerland ? Disclaimer:
Countri(es) stated herein are used as reference only

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Description
Contents

Details

This book locates, organizes and summarizes information about the use of child indicators in an advocacy context. It provides a conceptual framework that allows readers to see a wide variety of work as part of a unified field. It provides a description of key concepts and illustrates these concepts by offering many examples from a range of countries and a wide variety of applications. It covers work from governments, non-governmental organization and academics. It describes such aspects as the use of data to educate and increase public awareness, as well as to monitor, set goals and evaluate programs serving children.

A growing number of organizations and people are focusing on measuring and monitoring the well-being of children and these child well-being data are often employed in ways that go beyond what is typically considered scholarship. Many of these applications involve some type of advocacy activity. Yet, there is very little in the literature about the use of child indicators in an advocacy context. This book provides a framework for scholars in a variety of disciplines that will help them to structure their thinking about the use of such indicators in a public context.

Introduction

What is Data-Based Child Advocacy?

Types of Advocacy Activity Using Child Indicators

2.1 Increasing Public Awareness about Child Well-Being

2.2 Making Data on Child Well-Being Easily Available

2.3 Advocating for More and Better Data on Children

2.4 Child Well-being Monitoring

2.5 Goal Setting

2.6 Evaluating Programs and Policies

Development of the Data-Based Child Indicator Movement

Communication Issues

Conclusions