Impact Evaluation For Evidence-Based Policy In Development

Enhance your ability to design and manage effective impact evaluations that drive informed policy-making. This intensive 5-day course is tailored to equip development professionals with both theoretical and practical understanding of impact evaluation methodologies. Learn to select the right techniques, understand the nuances of data analysis using STATA and NVIVO, and critically assess evidence to inform public policy and development interventions. Led by an experienced teaching team, this course offers a transformative journey into the world of impact evaluation. 

Who Should Attend?

This course is ideal for:

• Researchers and Project Staff: Involved in data-driven decision-making.
• Managers and Development Practitioners: Seeking to enhance their project evaluation skills.
• Policy Makers in Government and NGOs: Focused on evidence-based policy interventions.
• Development Organizations: Aiming to improve the effectiveness of their programs.

Course Objectives:

• Conduct Rigorous Evaluations: Master the process of conducting thorough impact evaluations.
• Econometric Techniques: Learn and apply advanced econometric methods for evaluation.
• Data Analysis Skills: Use Propensity Matching and Difference-in-Difference methods.
• Understand Evaluation Designs: Grasp randomized, quasi, and non-experimental designs.
• Address Evaluation Challenges: Tackle issues like attribution, selection, and placement biases.
• Effective Reporting: Learn to report and disseminate your findings for maximum impact.

Course Modules:

Module 1: Fundamentals of Monitoring & Evaluation

• M&E Overview: Understand the fundamentals and significance of M&E in projects.
• Frameworks and Indicators: Explore logical frameworks and key performance indicators.
• Performance Evaluation: Learn the essentials of evaluating project performance.

Module 2: Introduction to Impact Evaluation

• Defining Impact Evaluation: Learn what it is and why it's crucial.
• Evaluation Approaches: Choose the right evaluation approach for your project.
• Key Evaluation Concepts: Understand attribution, contribution, and evaluation points.

Module 3: Research Designs and Sampling

• Experimental and Non-Experimental Designs: Explore various research design methodologies.
• Sampling Techniques: Master sampling methods and statistical power calculations.
• Valid Comparison Groups: Construct effective comparison groups for evaluations.

Module 4: Quantitative and Qualitative Data Analysis

• Data Analysis with STATA: Use statistical software for quantitative analysis.
• Propensity Score Matching: Apply PSM for robust impact evaluations.
• Difference-in-Difference Method: Learn and apply DID for complex evaluations.
• Qualitative Approaches: Explore techniques like Outcome Mapping and Appreciative Inquiry.

Module 5: Reporting and Dissemination

• Impact Evaluation Planning: Develop comprehensive evaluation plans.
• Producing Reports: Craft baseline and impact evaluation reports.
• Case Studies: Analyze real-world examples for practical insights.