Training on M&E, Data Management and Analysis for Agriculture and Rural Development Programs

 INTRODUCTION

Food security is paramount in any particular nation and plays a major role towards the achievement of the other sustainable development goals; that is poverty eradication, good health and well-being, decent work and further towards economic growth goals. Rural development not only plays a major role in eradicating poverty by providing alternative sources of livelihoods but also significantly contributes to agricultural growth which in turn contributes to food security.

This training , therefore, aims at aiding personnel in the agricultural sector in; monitoring and evaluating of rural development ; assessing their impact, and data management and analysis and its interpretation for policy making for development agenda.

DURATION

10 day

TRAINING OBJECTIVES

By the end of the training, the 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&E systems in food and nutrition security .
• Strengthen their skills to evaluate impact assessments of food and nutrition .

COURSE OUTLINE

Module 1: Fundamentals of Monitoring and Evaluation

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

Module 2: M&E frameworks

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

Module 3: Gender consideration in M&E for Rural Development

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

Module 4: Demand for data use in Agriculture and Rural Development

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

Module 5: Introduction to Research approaches for M&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

Module 6: Data Management

• Data management dimensions
• Data management
• Data quality

Module 7: Data Analysis

• Descriptive analysis
• Inferential analysis
• Interpretation of findings

Module 8: Evaluation of Rural Development programmes

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

Module 9: Impact Assessment of Rural Development programmes

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

Module 10: M&E Results Use and Dissemination

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