Managing, Analysing and Interpreting M&E Data For Development Programmes In Agriculture Course

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.

Target Participants

The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers.

DURATION

10 days

LEARNING OBJECTIVES

By the end of this course the learners should 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

TOPICS TO BE COVERED

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 in agriculture
• Design, monitoring, and evaluation of resilience interventions

Closure

Methodology
This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with a certificate of participation.

 Training venue

The training is residential and will be held at the Livecode Technologies Training Centre in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

 Accommodation

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Mobile Number: +254 725 771 853

Training fee

The course fee is KES 120,000.00 or USD 1700.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course starting date.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, contact our team through This email address is being protected from spambots. You need JavaScript enabled to view it.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.