Impact evaluation 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.

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.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.