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The Goldilocks Challenge: Right-Fit Evidence for the Social Sector

Amazon.com Price:  $28.73 (as of 08/05/2019 19:22 PST- Details)

Description

The social sector provides services to a wide range of people all the way through the world with the aim of creating social value. At the same time as doing good is great, doing it well is even better. These organizations, whether nonprofit, for-profit, or public, increasingly need to demonstrate that their efforts are making a positive have an effect on on the world, especially as competition for funding and other scarce resources increases. This heightened focus on have an effect on is positive: learning whether we are making a difference enhances our ability to address pressing social problems effectively and is critical to wise stewardship of resources. Yet demonstrating efficacy remains a big hurdle for most organizations.

The Goldilocks Challenge provides a parsimonious framework for measuring the strategies and have an effect on of social sector organizations. A good data strategy starts first with a sound theory of change that helps organizations come to a decision what elements they should monitor and measure. With a theory of change providing solid underpinning, the Goldilocks framework then puts forward four key principles, the CART principles: Credible data that are prime quality and analyzed as it should be, Actionable data will in reality influence future decisions; Responsible data create more benefits than costs; and Transportable data build knowledge that can be used someday and by others.

Mary Kay Gugerty and Dean Karlan combine their extensive experience working with nonprofits, for-profits and government with their understanding of measuring effectiveness in this insightful guide to thinking about and implementing evidence-based change. This book is an invaluable asset for nonprofit, social enterprise and government leaders, managers, and funders-including anyone considering making a charitable contribution to a nonprofit-to ensure that these organizations get it “just right” by knowing what data to collect, how to collect it, how it can be analyzed, and drawing implications from the analysis. Everyone who wants to make positive change should focus on the top priority: the usage of data to learn, innovate, and support program implementation over time. Gugerty and Karlan show how.

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