Program evaluation in the public sector refers to the systematic assessment of government policies, programs, or initiatives to determine their effectiveness, efficiency, and impact. It involves collecting and analyzing data to evaluate whether objectives are being met, resources are used appropriately, and desired outcomes are achieved. This process informs decision-making, accountability, and improvement within law, government, and public service, ensuring that public resources deliver maximum value to society.
Program evaluation in the public sector refers to the systematic assessment of government policies, programs, or initiatives to determine their effectiveness, efficiency, and impact. It involves collecting and analyzing data to evaluate whether objectives are being met, resources are used appropriately, and desired outcomes are achieved. This process informs decision-making, accountability, and improvement within law, government, and public service, ensuring that public resources deliver maximum value to society.
What is program evaluation in the public sector?
A systematic assessment of a program's design, implementation, and outcomes to inform policy decisions about effectiveness, efficiency, and relevance.
What are the main types of program evaluation in the public sector?
Formative evaluation (to improve design/implementation) and summative evaluation (to judge outcomes/impact); other approaches include developmental and utilization-focused evaluation.
What is a logic model and why is it used in program evaluation?
A visual map of inputs, activities, outputs, and outcomes that links what the program does to the results it seeks; it guides what to measure and how.
Why is stakeholder involvement important in public sector program evaluation?
Engages policymakers, practitioners, and communities to ensure relevance, transparency, and that findings are used to inform decisions.
What data sources are commonly used in public sector program evaluations?
Administrative records, surveys, interviews/focus groups, cost data, and observational data; triangulation strengthens evidence.