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What is the difference between impact evaluation and monitoring and evaluation?

Published in Evaluation Differences 4 mins read

The key difference between impact evaluation and monitoring and evaluation (M&E) lies primarily in their focus on causality.

Understanding Monitoring and Evaluation (M&E)

Monitoring is a continuous process of collecting and analyzing information to track the progress of a program or project against its plans and targets. It helps answer questions like:

  • Are activities being implemented as planned?
  • Are resources being used efficiently?
  • Are targets being met?

Evaluation, in the broader M&E sense, involves periodic assessments to determine the relevance, effectiveness, efficiency, impact, and sustainability of a program. It helps answer questions about how a program is working and what it is achieving.

According to the reference, monitoring and evaluation (M&E) usually refers to non-causal evaluation. This means that while M&E can show whether desired outcomes are occurring alongside the program, it doesn't typically use rigorous methods to prove that the program caused those outcomes.

Understanding Impact Evaluation

Impact evaluation is a specific type of evaluation that aims to measure the change in a specific outcome that can be attributed to a particular intervention or program. It goes beyond simply observing changes and seeks to establish a cause-and-effect relationship.

Based on the provided information, impact evaluation specifically refers to evaluation that can attribute a particular effect to the program itself. This requires comparing outcomes for those who participated in the program with outcomes for those who did not (or received a different intervention), controlling for other factors that might influence the outcome.

Methods often used in impact evaluation include randomized control trials (RCTs), quasi-experimental designs (like difference-in-differences, matching), or strong non-experimental methods that attempt to isolate the program's effect.

Key Differences at a Glance

Here's a table summarizing the main distinctions:

Feature Monitoring and Evaluation (M&E) Impact Evaluation
Primary Focus Tracking progress, assessing overall performance. Measuring the attributable change caused by the program.
Causality Usually non-causal. Observes changes. Specifically causal. Seeks to attribute effects to the program.
Scope Processes, outputs, outcomes, relevance, efficiency. Focuses specifically on outcomes attributed to the program's influence (impact).
Timing Ongoing (monitoring), Periodic (evaluation). Typically conducted after the program has had time to produce effects.
Methodology Data collection, tracking, descriptive analysis. Rigorous methods to establish counterfactuals (e.g., RCTs, quasi-experimental).
Question Is the program being implemented well? What's changing? Did the program cause this specific change (impact)?

Practical Examples

  • M&E might measure:

    • Number of training sessions held.
    • Number of people attending training.
    • Percentage of participants who completed the training.
    • Observed changes in participants' reported knowledge or skills after training.
    • Efficiency of resource use for the training.
  • Impact Evaluation might measure:

    • The increase in participants' income specifically due to receiving the training, compared to a similar group who did not receive the training.
    • The reduction in disease incidence in a community that received a specific health intervention attributable only to that intervention.

Why Both Are Important

While distinct, M&E and impact evaluation are complementary. Effective M&E provides crucial data on implementation and outcomes, which can inform if and how an impact evaluation should be designed and conducted. M&E helps manage the program and see if changes are happening, while impact evaluation rigorously tests whether those changes are a direct result of the program's efforts.

In essence, M&E helps you know what is happening and whether things are improving, while impact evaluation helps you know why those changes are happening by isolating the program's effect.

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