Section Overview

In addition to helping you plan a program, the logic model can help you measure your outcomes and improve your evaluation practice. In this section you will learn how the logic model can help you determine what to evaluate, identify appropriate questions for evaluation, select indicators, know when to collect data and determine what data collection methods are most appropriate.

This section presents the logic model as fundamental for these aspects of evaluation planning. Two other parts of evaluation planning — data analysis and interpretation, and use of results — are not covered here, although they are part of a comprehensive evaluation plan.

This section is not an evaluation primer. Its purpose is to show how the logic model can facilitate more effective and efficient evaluation and covers evaluation issues the logic model can help you with. It does not cover the many technical aspects of evaluation, such as measurement, instrument construction, sampling design, etc. Other resources will be referenced for those areas.

Section Goal

When you complete this section, you will see how the logic model helps in evaluation. More specifically you will:

1. Recognize how the logic model helps determine what you will evaluate – the focus of your evaluation.
2. Recognize how the logic model helps you determine meaningful and useful evaluation questions – know what to measure.
3. Understand indicators and know what information best answers your evaluation questions.
4. Be able to identify appropriate timing for data collection.

Section Outline

You can use this outline to move through the topics in this section.

1. Where does evaluation fit in a Logic Model?
2. How do Logic Models help in evaluation?
3. What to evaluate? – The focus
4. What will the evaluation seek to answer? – The questions
5. Who will use the evaluation?
6. Example of a Logic Model with evaluation questions
7. Common categories of evaluation questions
8. Clarifying the evaluation question(s)
9. How will you know it? – The indicators
10. Logic Models and indicators
11. Selecting meaningful indicators
12. Examples of indicators
13. Properties of indicators
14. Timing
15. Evaluation designs
16. Data collection
17. Sampling
18. Instrumentation
19. WRAP-UP: A complete evaluation plan
20. Section summary

---