Integrating gender into causal impact assessments

This course is in English.

Course Objectives

• Define the scope of impact assessment and understand what sets impact assessments—especially causal impact assessments—apart from other assessment types, including the distinction between attribution and contribution to observed changes
• Understand how monitoring and impact assessment complement each other and serve distinct purposes in guiding implementation and evaluation.
• Provide an overview of quantitative methodologies (experimental and quasi-experimental) used in causal impact assessments.
• Learn effective strategies for integrating sub-group analysis (e.g., gender) into monitoring and evaluation.

How will the course be scheduled?

2 sessions per week of 90 minutes each over 4 consecutive weeks.

Mondays and Wednesdays from 4:00pm-5:30pm (EAT)

Start date: March 3-2025

End date: March 26-2025

More about this training

This course introduces participants to the fundamentals of impact assessments, with a particular focus on causal impact assessments and their role in attributing observed changes to a given innovation, program or intervention. Participants will explore the scope of impact assessments, distinguishing them from other assessment types, and will explore the unique scope of causal impact assessments and the difference between attribution and contribution.

The course provides an overview of key quantitative methodologies for causal impact assessments, including experimental and quasi-experimental approaches. A strong emphasis is placed on integrating gender and sub-group analysis into causal impact assessments.

Participants will also improve their knowledge on how to integrate gender into Theory of Changes to inform the scope of an impact assessment. We will also discuss how monitoring and impact assessments complement each other in guiding implementation and assessing results.

This course is for those working at the intersection of gender and agri-food systems, focusing on the design, implementation, and assessment of innovations/interventions. While not highly technical, a basic knowledge of statistics is recommended. Participants from CGIAR and beyond, including NARES professionals, researchers, and practitioners interested in causal impact assessments are invited.

Who can I contact for more information?

If you need more information please contact us through this form and we will respond accordingly.