Course Overview
Impact evaluation involves the assessment of changes as a result of projects, programs, or policies. This included both the intended and unintended interventions. This course aims at imparting skills to participants on the ways to carryout impact evaluations on their respective programs, policies, or projects. At the end of the course a participant sold be able to carry out a vigorous impact assessment with respect to specific interventions.
Course Duration
5 Days
Who Should Attend
- Development practitioners and professionals
- Program managers and project officers
- Policy makers and government officials
- Monitoring and evaluation specialists
- Researchers and academics in the field of development studies
- NGO staff and international development consultants
Course Impact
Upon completion of the course, participants will have:
- Enhanced skills in designing and conducting impact evaluations.
- Improved ability to critically assess the effectiveness of development interventions.
- Greater confidence in using statistical tools and software for data analysis.
- Strengthened capacity to communicate findings and advocate for evidence-based decision making.
- A comprehensive understanding of how to integrate impact evaluation results into project planning and policy development.
Course Objectives
By the end of this course, participants will be able to
- Identify impact evaluation theories and practices
- Understand problems of evaluation (biases n placement, attribution and selection)
- Explain designs of IE
- Carry out a project impact evaluation
- Learn impact evaluation econometric tools
- Undertake analysis of impact data using Propensity Matching and Difference-in –Difference
- Report and share findings from impact evaluation
Course Outline:
Module 1: Introduction to Impact Evaluation
- Understanding Impact Evaluation: Definitions and Importance
- Overview of Impact Evaluation Designs: Experimental, Quasi-Experimental, and Non-Experimental Methods
- Selecting the Right Methodology for Your Project
Module 2: Experimental and Quasi-Experimental Designs
- Randomized Controlled Trials (RCTs): Design and Implementation
- Propensity Score Matching and Difference-in-Differences
- Case Studies and Examples
Module 3: Data Collection and Management
- Designing Surveys and Questionnaires for Impact Evaluation
- Data Collection Techniques: Surveys, Interviews, Focus Groups
- Ensuring Data Quality and Integrity
Module 4: Data Analysis and Interpretation
- Statistical Tools for Impact Evaluation: Basics and Advanced Techniques
- Using Software for Data Analysis (e.g., STATA, R)
- Interpreting Results and Drawing Conclusions
Module 5: Communicating Findings and Using Evidence for Development
- Effective Communication of Impact Evaluation Results
- Writing Impact Evaluation Reports
- Integrating Evaluation Results into Policy and Practice
- Ethical Considerations in Impact Evaluation
