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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Using Iterative Experimentation to Accelerate Program Improvement: A Case Example.

Rebecca A Maynard1, Rebecca N Baelen1, David Fein2

  • 1University of Pennsylvania, Philadelphia, PA, USA.

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Summary
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This study combined experimental methods with design-based implementation research (DBIR) and rapid-cycle evaluation (RCE) to quickly assess strategies for improving workforce development programs. The approach successfully boosted program retention and college persistence.

Keywords:
career preparationdesign-based implementation researchimprovement sciencerandomized controlled trialsocial experimentyouth development

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Area of Science:

  • Program Evaluation
  • Implementation Science
  • Educational Psychology

Background:

  • Experimental evaluation methods can be integrated with design-based implementation research (DBIR), improvement science (IS), and rapid-cycle evaluation (RCE).
  • This integration allows for rapid, low-cost, and credible assessments of strategies aimed at improving programs, policies, or practices.

Purpose of the Study:

  • To demonstrate the feasibility and benefits of blending DBIR, IS, and RCE practices with embedded randomized controlled trials (RCTs).
  • To enhance the pace and efficiency of program improvement initiatives.

Main Methods:

  • A two-cycle experimental test of staff-designed strategies for a workforce development program (Year Up's Professional Training Corps - PTC).
  • Random assignment of 317 youth across three PTC sites to improvement strategies.
  • Primary outcomes measured: completion of the learning and development (L&D) phase and continued college enrollment post-L&D.

Main Results:

  • Improvement strategies increased program retention through the L&D phase by nearly 10 percentage points.
  • Strategies also increased college persistence following the L&D phase by 13 percentage points.

Conclusions:

  • Blending DBIR, IS, and RCE principles with a multi-cycle RCT provides credible efficacy estimates efficiently.
  • This integrated approach achieved results within 18 months at modest cost and low burden for program staff.