The 33rd edition of the Annie E. Casey Foundation’s KIDS COUNT® Data Book describes how children in America are in the midst of a mental health crisis, struggling with anxiety and depression at unprecedented levels.
Data Collection & Analysis
Developing Evidence for Young People of Color
This Annie E. Casey Foundation webinar unpacks the work of building evidence to show that programs are effectively serving young people of color
Developing a theory of change
A webinar from the Annie E. Casey Foundation highlights key steps to help social-sector leaders develop a theory of change. It shares lessons from one organization’s work to map its key values, goals and strategies.
Measuring Program Effectiveness With Youth Voice: A Leading with Evidence Webinar
How can programs for young people engage those young people in making the programs better? The Annie E. Casey Foundation held a webinar to explore this question, focusing on how Latinos in Action (LIA), a program that builds college and career skills for young people across 13 states, collects data from youth to measure how faithfully it is implementing its program model — and how it uses those data for staff to continuously reflect on and improve their work.
A Toolkit for Centering Racial Equity Throughout Data Integration
From Actionable Intelligence for Social Policy at the University of Pennsylvania, this tool kit, developed by a national workgroup of civic data stakeholders, aims to support data sharing and integration done well. It encourages centering racial equity and community voice within the context of data integration and use — and for the benefit of the public good.
Moving Toward Equity: Data review tool
The Moving Toward Equity Data Review Tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a comprehensive educator equity plan
Why am I always being researched?
A guidebook for community organizations, researchers, and funders to help get us from insufficient understanding to more authentic truth
Principles for Advancing Equitable Data Practices
This brief is part of Urban Institute’s Elevate Data for Equity project that provides knowledge and tools for using data to advance equity and community health. The project draws on insights from the National Neighborhood Indicators Partnership and was funded by the Robert Wood Johnson Foundation.
Investing in Data Capacity for Community Change
This brief is part of Urban Institute’s Elevate Data for Equity project that provides knowledge and tools for using data to advance equity and community health. The project draws on insights from the National Neighborhood Indicators Partnership and was funded by the Robert Wood Johnson Foundation.
Rainbow Framework
There are many different methods and processes that can be used in monitoring and evaluation (M&E). The Rainbow Framework organises these methods and processes in terms of the tasks that are often undertaken in M&E. The range of tasks are organised into seven colour-coded clusters that aim to make it easy for you to find what you need: Manage, Define, Frame, Describe, Understand Causes, Synthesise, and Report & Support Use
Developing a logic model: Teaching and training guide
The materials in this guide, based on the University of Wisconsin-Extension logic model format, are appropriate for beginning-level logic model users
Promoting CVI Success: Meaningful Measures and Effective Communication
This webinar focused on how to develop successful Community Violence Intervention (CVI) programs through the use of data, performance metrics, and evaluation partnerships. Panelists discussed the importance of employing meaningful performance metrics, engaging community members in evaluation activities, and telling the story of the impact of CVI strategies.
Community-Centered Evaluation
During Part 4 of the Community Violence Intervention (CVI) Webinar Series, leading experts in program evaluation discuss partnerships and evaluation, including process and outcome evaluations, and ways to partner on evaluation in order to understand whether CVIs are working to reduce community violence. The webinar also covers the benefits of Community-Based Participatory Research, a community-centered strategy that involves partnering with a researcher in an iterative process of program development and improvement. The webinar includes information about a wide range of research and evaluation tools and resources for practitioners. This webinar features presentations and a discussion from Dr. Caterina Roman from Temple University, Dr. Barbara Israel from the University of Michigan, Roseanna Ander from the University of Chicago Crime Lab, and Eduardo (Eddie) Bocanegra from Heartland Alliance READI Chicago.
Participatory Approaches
Unicef’s methodological brief, impact evaluation #5 focused on participatory approaches to evaluation
Local Measures: The Need for Neighborhood-Level Data in Youth Violence Prevention Initiatives
This report describes some of the most promising resources and suggests the type of work needed to provide communities with accurate, localized crime-trend data that can be used to determine the effects of multi-jurisdictional violence-prevention initiatives. Some of the data series described in this report could serve as models and may inspire new initiatives to integrate various types and sources of data for assessing the effects of violence-reduction programs.
Data Science Strategy for Injury and Violence Prevention
To date, a strategy that focuses on applying data science to advance injury and violence prevention has not been developed. In early 2019, the CDC’s Injury Center’s Office of Strategy and Innovation convened an internal working group, recognizing the potential public health benefits from implementing an injury and violence prevention data science strategy. The work group was comprised of a diverse group of leaders and subject matter experts from across the center to develop the first data science strategy for injury and violence prevention. This report reflects the results of these discussions and outlines specific goals for data science activities at the Injury Center. Progress in each of these critical areas will help solve immediate needs that exist in the field of injury and violence prevention and contribute to lessening the burden of injury and violence.