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Program evaluation

As explained in Effective Data Analysis

Program evaluation is the systematic assessment of a program’s effectiveness in achieving its intended goals for a target population.

Program evaluation systematically assesses whether a program meets a specific goal for its target population. It is common in nonprofit, government, and academic settings, where programs provide services or address identified needs. section 3.3.3 section 3.4

Evaluators measure participant outcomes before, during, and repeatedly after a program. The resulting evidence supports reporting and continual improvement while keeping the evaluation focused on a specific goal, such as reducing disease prevalence. section 3.3.3

A program evaluation typically:

  • Tracks outcomes across a defined population and time period. section 3.3.3
  • Retains a narrower goal-focused scope than basic research, applied research, or A/B testing. section 3.3.3
  • Uses accumulated evidence to enhance program effectiveness and cost efficiency. section 3.3.3

Adolescent volunteering initiative

A nonprofit evaluates adolescent volunteers at 3, 6, 12, and 24 months after their first engagement, examining school performance, well-being, peer connections, and family relationships. The findings can support program improvement, grant opportunities, and peer-reviewed research. section 3.3.3

How Effective Data Analysis covers it

How deep it goes
Measures outcomes before, during, and after programs, but stays narrower and goal-focused than broader research programs.
Examples
Uses adolescent volunteering evaluations with follow-ups on school performance, well-being, peer connections, and family relationships.
What it assumes
Builds on evidence-gathering methods and study designs used to answer measurable research questions.
What you can do after
Evaluate/understand program efficacy and use repeated findings to improve services, reporting, grants, and research.
How it connects
Connects evidence-gathering methods and study designs with longitudinal studies, A/B testing, basic research, and applied research.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.