Resource Library

The report provides the findings of the implementation of a quasi-experimental design to understand how changing labor market conditions associated with the pandemic affect opioid use.

The report provides the results of an analysis of secondary data to understand how nonmedical use of prescription pain relievers varied across states, industries and occupations, and other worker characteristics.

The literature review aims to examine the roles and activities of navigator programs in workforce development and related fields as well as the outcomes and impacts of such programs. To address these goals, researchers identified and reviewed relevant literature published between 2010 and 2021. They also reviewed the bibliographic references of the identified articles for additional materials.

The report summarizes 46 impact evaluations that focus on programs that embed elements of the career pathways approach. In the past decade, the career pathways approach to workforce development emerged as a promising strategy to promote long-term earnings advancement and self-sufficiency by helping workers attain in-demand postsecondary credentials (Fein, 2012). The approach involves a combination of rigorous and high-quality education, training, and other services to support participant success (WIOA, 2014).

Graphic highlighting several Career Pathway program milestones and improvements from the 1980's through the 2020's.

The brief summarizes findings of the Career Pathways Descriptive and Analytical Project’s meta-analysis study, which analyzes research on the impacts of 46 career pathways programs, based on evaluation findings published between 2008 and 2021. The brief first describes the programs and participants in the evaluations included in the meta-analysis. It then discusses the study’s overall impact findings and the findings about which program characteristics were associated with impacts, as well as the implications of each for policymakers, practitioners, and researchers.

The brief summarizes lessons learned from using machine learning to study the implementation of career pathways programs. First, this brief describes the research questions that guided the study and summarizes the machine learning methods designed for the data collection and analysis activities, including study limitations and challenges encountered. It then provides lessons learned on using machine learning methods for social science research.

The datasets compiled for the Career Trajectories and Occupational Transitions (CTOT) Study can be used to inform career pathways and other employment and training programs by (1) identifying launchpad occupations associated with higher than average wage growth, (2) identifying occupational and worker characteristics associated with wage growth, and (3) identifying specific occupational steps associated with wage growth.

In 2021, the Chief Evaluation Office (CEO) funded contractor Westat Insight and their partner American Institutes for Research to conduct the Explorations in Data Innovations project under the Administrative Data Research and Analysis portfolio of studies. This use case study was designed to explore options around employing machine learning to create and maintain a public-facing, labor-related data catalog.

The report describes the National Health Emergency (NHE) Demonstration Grants to Address the Opioid Crisis: Implementation Evaluation findings and considers lessons learned and practices that appear potentially promising for future efforts to provide workforce services and system investments to support people directly and indirectly affected by the opioid crisis.