Managing, Analysing and Interpreting M&E Data in Agriculture

INTRODUCTION

The key to success in implementation of any development programme relies on quality, reliable and timely data. More so, the progress in eradicating poverty and attaining zero hunger by 2030 as envisioned in Sustainable Development Goal one and two respectively relies on policies informed by reliable and timely data. This 10 days course aims at equipping the participants in the agricultural sector with adequate skills in developing data collection tools, designing questionnaire in Open Data Kit (ODK), exporting data to data analysis software such as SPSS and Stata, data management and analysis, monitoring and evaluation indicators and report writing.

DURATION

10 day

COURSE 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.
• Understand monitoring and evaluation (M&E) for agricultural programs
• Design agricultural projects using logical framework analysis approach
• Define different projects indicators
• Track performance indicators over the life of the project
• Evaluate agricultural programs  achievement against the pre-set objectives and targets
• Conduct impact evaluations of agricultural programs

COURSE OUTLINE

Module 1: Introduction to research

• Introduction to research
• Different types of research
• Quantitative Research Approaches
• Qualitative research approaches
• Sampling techniques
• Quantitative data collection methods
•  Qualitative data collection
• Developing questionnaire
• Designing questionnaire in ODK
• Exporting data to SPSS and Stata

 COURSE OUTLINE

Module 1: Fundamentals of Monitoring and Evaluation

• What is M&E?
• Significance of M&E
• Principles and concepts in M&E
• M&E and the programme lifecycle
• M&E in agriculture 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: Demand for data use in Agriculture

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

 Module 4: Introduction to Research approaches for M&E in Agriculture Development Programmes

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

 Module 5: Data Management

• Data management dimensions
• Data management
• Data quality

 Module 6: Data Analysis

• Descriptive analysis
• Inferential analysis
• Interpretation of findings

 Module 7: Evaluation of Agricultural 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 8: Impact Assessment of Agricultural Development programmes

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

 Module 9: M&E Results Use

• 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

 Module 10 M&E Results Dissemination

• M&E reporting
• Design, monitoring, and evaluation of resilience interventions

TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile or Email. 

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

 TRAINING FEE

Cost:

In-person USD 1900

Online USD 1700

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to the email.

For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.

 ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile or Email.

PAYMENT

Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email.

CANCELLATION POLICY

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.