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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 characteristics of TechHire and Strengthening Working Families Initiative (SWFI) grant programs participants, participation in services, training enrollment, training completion, credential receipt, and employment. It also examines how outcomes vary by participant characteristics. The data come from the Participant Individual Record Layout (PIRL).
The report focuses on the implementation and short-term impacts of TechHire and Strengthening Working Families Initiative (SWFI) — capturing between 7 and 14 months of follow-up—in the five programs that participated in a randomized control trial. The implementation analysis explored broad research questions about how the programs were implemented and what factors facilitated or inhibited implementation.
The report of an evaluation of strategies used in the TechHire and Strengthening Working Families Initiative (SWFI) grant programs. The evaluation includes implementation, outcomes, and impact studies. The impact study involves a randomized controlled trial of services provided by five grantees to estimate the effects of their programs on outcomes such as skill attainment, employment, and earnings. The focus of this report is the implementation study, which examines how 49 TechHire and SWFI grantees implemented their programs and the perceived effectiveness of the strategies used.
The report describes recent and long-term economic and policy developments with relevance for the public workforce system. This research evidence scan is one of a pair of reports developed as part of DOL’s WIOA Research Portfolio project. The companion report is A Research Evidence Scan of Key Strategies Related to the Workforce Innovation and Opportunity Act (WIOA) Report (Deutsch et al. 2021).
Ongoing research and evaluation that produce actionable, widely disseminated evidence are central to the continuous improvement of U.S. Department of Labor (DOL) programs. In addition, the Workforce Innovation and Opportunity Act of 2014 (WIOA) requires DOL to conduct periodic, independent evaluations to inform the effective operation of WIOA programs and services. To support the development of DOL’s research portfolio, this scan examines existing evidence on key topics related to WIOA programs and services.
In 2021, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and commissioned contractor Summit Consulting, LLC (Summit) to explore issues related to future research on application or user fees in programs administered by ETA based on a review of regulations, guidance, and selected research concerning such fees under the Administrative Data Research and Analysis portfolio of studies.
In 2020, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct the Workforce Innovation and Opportunity Act (WIOA) Research Portfolio Project.
In 2017, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) and funded contractor Mathematica Policy Research to conduct the National Job Corps Study: 20-Year Follow-Up Study Using Tax Data under the Administrative Data Research and Analysis portfolio of studies. This administrative data analysis aims to assess the long-term employment and earnings outcomes for Job Corps participants in the 1990s using tax data through 2015.
Appendices to the National Job Corps Study: 20-Year Follow-Up Study Using Tax Data Final Report. Appendix A presents additional tables of impact results referenced in the main report. Appendix B presents additional details on the tax data, the construction of outcome variables, and analytic methods used to estimate the impacts and interpret them.