Data can help career and technical education programs refine their models, pinpoint successes, and communicate lessons with funders and stakeholders. Drawing in part on conversations with leaders in the field, this brief outlines four steps programs can take to strengthen their data-collection and measurement activities and develop robust data strategies.
Using Data to Analyze Enrollment Drop-Off
The August 2019 In Practice blog post offers tips for programs to ensure that the participants they recruit, actually enroll. In this post, we examine some key lessons from MDRC’s evaluation of the WorkAdvance project to help turn program recruits into program success stories.
In the spring of 2019, MDRC invited practitioners from innovative career and technical education (CTE) programs to discuss questions of equity. This policy brief summarizes the most common equity challenges that were raised in the discussion, along with ideas that emerged for how to address them.
Learning from the New York City Demonstration (2016-2018)
A change in state law presents an opportunity for organizations to access administrative wage data to help evaluate and improve their workforce programs. This guide, based on lessons from the Change Capital Fund economic mobility initiative, explains some of the challenges involved and offers practical advice for interested community organizations.
Early Findings From the Family Self-Sufficiency Program Evaluation
This first national randomized controlled trial of the Family Self-Sufficiency (FSS) program — the main federal strategy to help housing voucher recipients make progress toward economic mobility — examined program implementation, participants’ engagement, and impacts on labor force participation and benefits receipt in the first 24 months of this five-year program.
Stability and Change
Community organizations are at the center of neighborhood improvement efforts. But how do organizational networks evolve over time, and how does their evolution affect local capacity for positive change? This report takes on these questions to advance an understanding of how community networks function, and how to better support them.
Current Policy, Prominent Programs, and Evidence
This paper reviews the available evidence supporting various types of career and technical education programs, touching on both the amount of evidence available in each area and its level of rigor.
Lessons from the New York City Change Capital Fund’s Economic Mobility Initiative (2014-2018)
A group of 17 donors are collaborating to provide multiyear funding to help community organizations build data capacity and integrate services — an uncommon opportunity. This report reviews the progress made among the first round of grantees and considers lessons involving donor expectations, technical assistance, and stakeholder involvement.
Promising Strategies from a Donor Collaborative
The NYC Change Capital Fund is a formal consortium of donors investing in community organizations with the dual objective of helping build their data capacity and encouraging ambitious program goals. This brief offers insights on the effective operation of a donor collaborative, from managing democratic governance to setting clear expectations.
Implementation and Early Impacts of the STEP Forward Program
This report presents implementation and interim impact findings from a random assignment evaluation of STEP Forward, a subsidized employment program in San Francisco serving a diverse group of low-income job seekers. In the first year, STEP Forward boosted employment and earnings, which suggests that participants obtained better jobs.