About Course

About the Program

Our impact evaluation training examines how projects, programs, or policies have influenced real change over time. This program equips participants with the skills required to execute evaluations related to their projects effectively. By introducing current quantitative and qualitative evaluation techniques, participants will gain a greater understanding of their roles in designing and assessing public policies and development interventions. The course aims to build the expertise needed to drive evidence-based decisions that promote sustainable development.

The training is available both in person and virtually, and certification is provided upon completion.

Program Objectives

By the end of this course, participants will be able to

• Understand common problems in evaluation, such as biases, attribution, and selection.
• Learn impact evaluation econometric tools and techniques.
• Analyze impact data using methods like propensity matching and difference-in-difference.
• Effectively report and share findings from impact evaluations.
• Conduct a project impact evaluation.
• Understand and explain various impact evaluation designs.
• Identify and apply impact evaluation theories and best practices.

Target Audience

This program is ideal for:

• Project Staff
• Researchers
• Managers
• Development Professionals
• Government Policy Makers
• NGOs and Development Organizations

These professionals seek an in-depth understanding of the different interventions in their field of expertise and want to enhance their impact evaluation skills.

Training Period

• Classroom: 5 Days
• Online: 7 Days

Course Outline

Module 1: Impact Evaluation Introduction

Meaning of impact evaluation

Attribution in impact evaluation

Contribution versus Attribution

Module 2: Impact Evaluation.

Forms of evaluation

Theories of Change

Hypotheses in evaluation

Indicators of impact evaluation

Module 3: Impact Evaluation Counterfactuals.

Causal reference and comparison groups

Estimating counterfactuals in impact evaluation

Conducting impact evaluations without baseline data

Module 4: Impact Evaluation Research Designs.

Experimental Design: Randomized Control Trials

Quasi-experimental designs: Difference-in-Difference, Regression Discontinuity, Matching

Non-experimental designs

Module 5: Impact Evaluation Sampling

Sampling techniques for impact evaluation

Statistical power and sample size calculation

Developing comparison groups and applying sampling weights

Module 6: Impact Evaluation Quantitative Data Analysis.

Measuring the impact on target beneficiaries

Comparing those receiving the intervention with those not receiving it

Module 7: Randomized Impact Evaluation

Developing counterfactuals and randomization

Measuring program impacts: Placement, Participation, and Spillover Effects

Module 8: Propensity Score Matching Technique (PSM).

Introduction to PSM

PSM in impact evaluation

Matching analysis techniques: Nearest Neighbors, Stratification, Radius, Kernel

Doubly Robust Estimation

Module 9: Difference in Difference Method

Introduction to DID and its use in impact evaluation

DID estimators and applications in cross-sectional data

Balancing tests and Diff-in-Diff with Propensity Score Matching

Module 10: Qualitative Approaches in Impact

Significant Change, Outcome Mapping, Outcome Harvesting, and Appreciative Inquiry

Module 11: Impact Evaluation findings Development

Developing Impact Evaluation Plans and Reports

Baseline and Impact Evaluation Reports

Delivery Method

This program includes practical activities, theory, group work, and case studies. Training manuals and reference materials are provided to all participants.

Certification

Upon successful completion of the training, participants will be awarded a certificate of course completion.

Related Courses

Training on Participatory Monitoring and Evaluation

Training on Project Performance Evaluation

Advanced M&E and Data Management for Health Training

Training on Impact Evaluation for Evidence-Based Development