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The report provides details on the data, samples, methods, and analyses for the Youth CareerConnect (YCC) impact study. Rigorously evaluating the effects of the YCC program on student outcomes required that multiple technical pieces be put in place, from selecting districts to participate in the evaluation to collecting and processing high-quality data and measuring impacts to conducting rigorous analysis to estimate impacts. This report provides details of these processes.
In 2017, the Chief Evaluation Office (CEO) partnered with the Office of Disability Employment Policy (ODEP) to fund contractor Abt Associates to conduct the Stay at Work/Return to Work (SAW/RTW) Models and Strategy Study. The study aims to document and expand the knowledge base of SAW/RTW strategies and identify promising models and best practices. The final study also includes evaluation design options, which could be implemented to build on and add to the evidence produced.
In 2014, the Chief Evaluation Office (CEO) partnered with the Office on Disability Employment Policy (ODEP) to fund contractor Westat to conduct an evaluation of the Pathways to Careers project.
Stay-at-Work/Return-to-Work (SAW/RTW) programs intend to help a worker who experiences an illness or injury to remain at work, or if the worker has left the labor force, to return as soon as medically possible. The report includes a review of evidence published between 2008 and 2018 on the effects of SAW/RTW or related programs on employment and the receipt of federal disability benefits.
The brief provides a summary of information about the Stay at Work/Return to Work (SAW/RTW) Models and Strategy Study, the process, and findings from each study report.
Stay-at-Work/Return-to-Work (SAW/RTW) programs intend to help a worker who experiences an illness or injury to remain at work, or if the worker has left the labor force, to return as soon as medically possible. The report presents five options for new research to build evidence about the target populations for SAW/RTW and to test the effects of interventions on employment outcomes.
Stay-at-Work/Return-to-Work (SAW/RTW) programs intend to help a worker who experiences an illness or injury to remain at work, or if the worker has left the labor force, to return as soon as medically possible. The report analyzes public data to estimate the characteristics of the SAW/RTW target population and examine pathways from illness/injury to federal disability benefits as a way to identify opportunities for intervention.
The report presents the results of an empirical study of ten years of employee misclassification summary judgment decisions by U.S. district courts, in which judges were asked to determine whether a worker was an employee or an independent contractor. Using text mining, machine learning classifiers, and regression analysis, the research reveals among 747 opinions that the judge ruled that the plaintiff was an independent contractor in thirty-eight percent of cases, and that the plaintiffs’ occupation was a strong predictor of outcomes.
The report of the Trade Adjustment Assistance Community College and Career Training (TAACCCT) national evaluation synthesizes findings implementation and impact findings from 71 Round 4 third-party evaluations. It summarizes what has been learned from the fourth and final round of the grant program to support a growing body of evidence on strategies that encourage accelerated learning, college persistence and completion, and connections to employment. The synthesis provides implications for future community college and workforce development initiatives and how to evaluate them.
Since the beginning of the COVID-19 pandemic, there have been unprecedented changes in employment for America’s workforce. Many businesses ceased or scaled back operations and many state governments issued stay-at-home orders. Using key labor force statistics from the Census Bureau’s Current Population Survey (CPS) researchers with the U.S. Department of Labor’s Office of Disability Employment Policy (ODEP) sought to provide insight into the recent changes.