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Resource Library
Graphic presenting evidence-informed strategies to recruit and retain apprentices.
The evidence capacity assessment included the 16 U.S. Department of Labor (DOL) agencies in the Department’s Strategic Plan. It reflects data collected through a survey of targeted DOL staff, focus groups with selected DOL staff, and a review of selected evidence documents. The research team used a strengths-based approach that recognizes and leverages DOL’s and agencies’ progress and embodies a continuous improvement mindset.
The Evidence Capacity Summary is designed to facilitate conversation and inform actions that staff across agencies may wish to pursue to further strengthen their capacity to use and to produce evidence. The findings presented in the brief summarize insights from 16 agency staff focus groups and the U.S. Department of Labor-wide capacity assessment survey.
In 2023, the Chief Evaluation Office (CEO), partnering with the Employment and Training Administration (ETA) and the Guam Department of Labor, commissioned Summit Consulting, LLC, to understand the feasibility of implementing an unemployment insurance (UI) program in Guam under the Administrative Data Research and Analysis portfolio of studies.
The E2A Tool Kit: Tips for Developing Great Evidence to Action (E2A) Products, produced under the Evidence to Action (E2A) at DOL: Portfolio Project & Process Study, is designed to help research teams plan for and develop effective evidence-to-action research products. While the hope is that the tool kit will be useful for a wider audience, it is written for research contractors who work for the U.S. Department of Labor (DOL) and for DOL staff who review and provide guidance on research contracts.
This guide provides users with a quick overview for launching the Worker Paid Leave Usage Simulation (Worker PLUS) model. The Worker PLUS User Manual provides two options for launching the model (options 1 and 2) and two options for downloading the American Community Survey (ACS) input files to run model simulations (options A and B). This guide focuses on option 1 for quickly launching the model’s graphical user interface (GUI) in Python and option A for downloading the ACS input files. Users following this quick-start guide do not need to have Python installed to launch the GUI.
The infographic explains how the Worker Paid Leave Usage Simulation (Worker PLUS) Model can help researchers and policymakers anticipate the benefits and costs of paid leave policies.
In 2023, the Chief Evaluation Office (CEO) partnered with the Occupational Safety and Health Administration (OSHA) and commissioned Westat to examine the feasibility of using administrative data to conduct an implementation study of the National Construction Safety and Health Achievement Recognition Program (SHARP) Pilot (NCSP) under the Administrative Data Research and Analysis portfolio of studies.
In 2022, the Chief Evaluation Office (CEO) partnered with the Mine Safety and Health Administration (MSHA) and commissioned contractor Summit Consulting, LLC (Summit) to conduct the Black Lung Incidence Study under the Administrative Data Research and Analysis portfolio of studies.
In 2022, the Chief Evaluation Office (CEO) commissioned Insight Policy Research, which has since been subsumed by Westat, to explore the development of an automated approach for identifying the websites of organizations that DOL may wish to reach for activities such as data collection, outreach, compliance, or enforcement under the Administrative Data Research and Analysis portfolio of studies.