Resource Library

In 2021, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractor Manhattan Strategy Group to conduct the Navigators in Social Service Delivery Settings: A Review of the Literature with Relevance to Workforce Development Programs under the Evaluation Technical Support portfolio of studies.

In 2022, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration’s (ETA) Reentry Employment Opportunity (REO) Program to fund Mathematica, Inc. and its subcontractors—RTI International and Abt Associates—to conduct the Partners for Reentry Opportunities in Workforce Development (PROWD) Grants Evaluation. The PROWD grants effort is a first-of-its-kind partnership between DOL and the U.S.

In 2022, the Chief Evaluation Office (CEO), in collaboration with the Office for Unemployment Insurance (OUI) in the Employment and Training Administration (ETA), funded independent contractor Abt Associates to conduct the Reemployment Services and Eligibility Assessments (RESEA) Evidence Building Portfolio Project. This portfolio project will provide evaluation technical assistance and conduct evidence-building activities to support and complement states’ evaluations.

This webpage provides the most recent statistics on women in the labor force, including occupations, earnings, and labor force participation by location or presence of children. It also includes charts showing labor force participation, unemployment rates, and educational attainment of women veterans, as compared to male veterans or women nonveterans. 

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.

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

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.

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 report of the Career Pathways Descriptive and Analytical Project focuses on “mid-level” occupations—occupations that typically require education or experience beyond a high school diploma or equivalent, but less than a four-year college degree. The report presents study findings on the magnitude of the differences between occupations in the career outcomes that entrants go on to experience within 10 years after entering, which occupations are associated with high wage growth, and what traits of occupations predict higher wage growth.