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The Harvard Family Research Project separated from the Harvard Graduate School of Education to become the Global Family Research Project as of January 1, 2017. It is no longer affiliated with Harvard University.
Volume IX, Number 1, Spring 2003
Issue Topic: Evaluating Out-of-School Time
Spotlight
In the Spring 2001 issue of The Evaluation Exchange (Vol. VII, No. 2), Harvard Family Research Project examined logic model basics. Now, we revisit this topic in the context of out-of-school time programs. Julia Coffman describes one approach programs can take to develop a logic model.
Many of us at one time or another will be asked to help develop a logic model. Their use as a convenient tool for strategic planning, evaluation planning, grantmaking, and communications has proliferated in recent years.
Logic models are a concise way to show how a program is designed and how it will make a difference for a program’s participants and community. A logic model summarizes the program’s key elements, reveals the rationale behind its approach, articulates its intended outcomes, and shows the relationship between the program and those outcomes. A logic model also can help identify the core elements of an evaluation plan.
There is no one “right” way to construct a logic model. There are many approaches and a logic model can take on many forms. One possible approach that out-of-school time programs (and others) can use is shown in this diagram (110KB Acrobat file).¹ The example offers a picture of the logic model’s structure, along with examples often associated with out-of-school time programs.
First Column: Describing the Program
The program side, or first column, of the logic model has four elements.
Second Column: Identifying the Outcomes
The second column, or outcome side, of the logic model defines the program’s measurable results. The program elements in the first column should drive the development of elements in the outcome column. The program acting alone expects to produce these changes.
Performance Measures
Measures that assess the program’s progress on the implementation of its strategies and activities.
Measures of Effort
Also commonly known as outputs, measures of the products and services generated by program strategies and activities.
Measures of Effect
Changes in knowledge, skills, attitudes, or behaviors in the program’s target population(s).
Indicators
Measurable elements of the program’s desired results or vision that reflect substantial changes in people, policies, or systems across an entire community. The program acting alone usually cannot achieve changes in indicators; they also require efforts from other programs or institutions working toward similar results.
Interim Indicators
Measures of short-term community-wide progress toward the program’s desired results.
Ultimate Indicators
Measures of long-term community-wide progress toward the program’s desired results. They usually require significant resource investments to affect. Performance measures and interim indicators should contribute to movement on the ultimate indicators.
Third Column: Planning Evaluation and Learning
The third column puts in place elements needed for data collection on the measures identified in the second column, and indicates how that data will be used for learning and decision making.
For a more a more detailed description of how to develop this type of logic model, see the brief Learning from Logic Models in Out-of-School Time on HFRP’s website.
Julia Coffman, Consultant, HFRP
¹ This logic model is based on: Watson, S. (2000). Using results to improve the lives of children and families: A guide for public-private child care partnerships. Washington, DC: Child Care Partnership Project. Available at www.nccic.org/ccpartnerships/resource.htm#resultspdf.