Agriculture forms the backbone of many developing countries and is the main economic activity for the rural communities. Since its modest beginnings, the agricultural sector has become increasingly complex and multi-faceted. The challenge agriculture faces today is how to feed the world population in an equitable manner while protecting the environment from irreversible negative changes. Monitoring and Evaluation tools and techniques plays a key role in ensuring Agriculture and Rural Development (ARD) projects are designed, implemented as planned to aid in ending hunger and poverty. This course equips the participants with adequate skills to develop and manage robust M&E systems for effective management of ARD projects and programs. The learner is introduced to M&E frameworks indicators, tools and techniques for M&E for ARD.
Definition of Monitoring and Evaluation
Why Monitoring and Evaluation is important
Key principles and concepts in M&E
M&E in project lifecycle
Complementary roles of Monitoring and Evaluation
Sustainable agriculture and rural development
ARD Conceptual Frameworks
ARD Results Frameworks
Logical Framework Analysis (LFA)
Log Frame - Design of ARD projects using Log Frame
Sustainable agriculture and rural development
ARD Conceptual Frameworks
ARD Results Frameworks
Logical Framework Analysis (LFA)
Log Frame - Design of ARD projects using Log Frame
Indicator metrics
Linking indicators to results
Indicator Matrix
ARD indicator performance tracking
Sector-wide indicators for Agriculture and Rural Development
Specific indicators for Sub-sectors of Agriculture and Rural Development
Indicators for Thematic Areas related to Agriculture and Rural Development
Importance of an M&E Plan
Documenting M&E System in the M&E Plan
Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
Using M&E Plan to implement M&E in a Project
Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
Use of different Surveys in data collection for ARD
Participatory methods of data collection for ARD
Data analysis for ARD
Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
Use of different Surveys in data collection for ARD
Participatory methods of data collection for ARD
Data analysis for ARD
Gender integration during project activities design
Gender indicators in ARD
Cross cutting gender issues in ARD
Measure of gender outcomes
Determining evaluation points from results framework
Components of evaluations: implementation and process evaluations.
Evaluation designs- experimental, quasi-experimental and non-experimental
Performance evaluation process
Evaluation questions
Evaluation findings sharing and dissemination
Introduction to impact evaluation
Attribution in impact evaluation
Estimation of counterfactual
Impact evaluation methods: Double difference, Propensity score matching
Use of M&E results to improve and strengthen ARD projects
Use of M&E lessons learnt and best practices
Organization knowledge champions
M&E reporting
Understand monitoring and evaluation (M&E) for ARD programs
Design ARD projects using logical framework analysis approach
Define different ARD indicators
Track performance indicators over the life of the project
Evaluate ARD programs against objectives and targets
Understand gender role in M&E in ARD programs
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