M and E Data Management and Analysis for Agriculture and Rural Development Programs

By the end of this workshop, participants will be able to:

• Gain skills in research design, data management and analysis in agriculture and rural development
• Learn how to integrate gender issues in agriculture and rural development
• Understand the role of food security in attaining the sustainable development goals.
• Gain skills on how to improve M and E systems in food and nutrition security.
• Strengthen their skills to evaluate impact assessments of food and nutrition.

CONTENT

Fundamentals of Monitoring and Evaluation

• What is M and E?
• Significance of M and E
• Principles and concepts in M and E
• Challenges facing M and E personnel in rural development and agricultural
• M and E and the program lifecycle
• M and E in agriculture and rural development program design
• Complementary roles of monitoring and evaluation

M and E frameworks

• Basics of M and E frameworks for rural development programs
• M and E in rural me development context
• Development and operationalization of M and E frameworks
• Link between M and E and indicators
• Using data
• Using logical frameworks in monitoring and evaluation of rural and agricultural programs

Gender consideration in M and E for Rural Development

• Gender integration during program activities design
• Gender indicators in agriculture and rural development
• Cross-cutting gender issues in rural development
• Role of M and E in addressing gender
• Measure of gender outcomes and outputs

Demand for data use in Agriculture and Rural Development

• Data use frameworks and basic concepts
• Data demand
• Information availability
• Information use

Introduction to Research approaches for M and E in Agriculture and Rural Development

• Basic statistics concepts
• Research designs
• Data collection techniques and tools advantages and disadvantages
• Descriptive analysis techniques
• Inferential analysis techniques

Data Management

• Data management dimensions
• Data management
• Data quality

Data Analysis

• Descriptive analysis
• Inferential analysis
• Interpretation of findings

Evaluation of Rural Development programs

• Determining evaluation points from results framework
• Components of evaluations, implementation and process evaluations
• Evaluation designs
• Performance evaluation process
• Evaluation findings, sharing, and dissemination

Impact Assessment of Rural Development programs

• Introduction to impact evaluation
• Impact assessment in design
• Attribution in impact evaluation
• Methods and approaches to assessing impact

M and E Results Use and Dissemination

• Measuring results in agriculture and rural development
• Use of M and E results to improve and strengthen agricultural and rural development
• Use of M and E lessons learned and best practices
• M and E reporting
• Design, monitoring, and evaluation of resilience interventions

TRAINING METHODOLOGY

The training methodology combines lectures, discussions, group exercises and illustrations. Participants will gain both theoretical and practical knowledge of the topics. The emphasis is on the practical application of the topics and as a result participant will go back to the workplace with both the ability and the confidence to apply the techniques learned to their duties.