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Using State Data to Promote Continuous Improvement of Workforce Programs: Guidance for States Preparing Applications to the U.S. DOL Workforce Data Quality Initiative

机译:使用州数据促进员工计划的持续改进:准备向美国DOL员工数据质量计划申请的州的指南

摘要

Local workforce education and employment program providers—and the state agencies that oversee them—routinely collect lots of data on their programs. Too often these data are used primarily to comply with mandated reporting requirements, and do not inform efforts to improve program outcomes. The U.S. Department of Labor's Workforce Data Quality Initiative (WDQI) provides funding to state workforce agencies (SWAs), to strengthen and expand longitudinal data systems (LDSs) to track individual participants through employment programs and into the labor force. The WDQI provides an opportunity for states to use data to promote continuous improvement of workforce education and employment programs. This brief provides guidance to states preparing applications to the WDQI so that they can build provisions into their proposals that will strengthen workforce longitudinal data systems, and enable them to use the data to improve outcomes for state residents seeking gainful employment and employers seeking qualified workers. The brief is based in part on CCRC’s experience working with six Midwest states involved in the Joyce Foundation's Shifting Gears initiative.
机译:当地劳动力教育和就业计划提供者以及对其进行监督的国家机构,通常会收集有关其计划的大量数据。通常,这些数据主要用于遵守规定的报告要求,而不能用于改善计划成果的工作。美国劳工部的劳动力数据质量计划(WDQI)向州劳动力机构(SWA)提供资金,以加强和扩展纵向数据系统(LDS),以跟踪通过就业计划进入劳动力市场的个人参与者。 WDQI为各州提供了使用数据促进持续改进劳动力教育和就业计划的机会。本简介为正在准备向WDQI申请的州提供指导,以便他们可以在其提案中加入条款,以加强劳动力纵向数据系统,并使他们能够使用这些数据来改善州居民寻求有酬就业和雇主寻找合格工人的结果。简介部分基于CCRC与参与乔伊斯基金会(Joyce Foundation)的Shifting Gears计划的中西部六个州合作的经验。

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