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Using Multi-Arm Designs to Test Operating Welfare-to-Work Programs.

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Summary
This summary is machine-generated.

Multi-arm randomized controlled trials (RCTs) can effectively evaluate large-scale welfare reform programs within operational settings. These complex experimental designs, when aligned with administrator interests, yield valuable insights into program effectiveness.

Keywords:
employment programsfield experimentshuman capital developmentlabor force attachmentmulti-arm randomized controlled trialsrandomized controlled trialssocial experimentswelfare employment programswelfare policywelfare reformwelfare-to-work programswork firstworkfare

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Area of Science:

  • Social Sciences
  • Public Policy
  • Program Evaluation

Background:

  • Early 1970s: Skepticism regarding randomized controlled trials (RCTs) for large-scale welfare reform.
  • Mid-1970s: Supported Work Demonstration proved feasibility and value of RCTs in welfare reform.
  • Evolution of experimental designs from simple to complex multi-arm RCTs.

Purpose of the Study:

  • Examine the implementation and rationale behind multi-arm RCTs in welfare reform.
  • Understand administrator cooperation and stakeholder learning objectives.
  • Assess the feasibility of integrating complex RCTs into operational programs.

Main Methods:

  • Case studies of multi-arm RCTs in San Diego and the JOBS/NEWWS study.
  • Analysis of political processes, funding, and researcher integration into operating welfare offices.
  • Examination of how experimental arms represented distinct strategies.

Main Results:

  • Multi-arm RCTs were successfully implemented in operating welfare programs.
  • These studies provided convincing evidence on program effectiveness.
  • Integration was successful when studies addressed administrator priorities.

Conclusions:

  • Multi-arm RCTs are a viable and valuable tool for evaluating large-scale operational welfare reforms.
  • Successful implementation hinges on aligning research questions with administrator interests.
  • These designs offer convincing evidence under real-world conditions.