Managing Analyzing and Interpreting M E Data for Development Programmes in Agriculture

Dear all ,

Re: Managing Analyzing and Interpreting M E Data for Development Programmes in Agriculture
FineResults Research Services,would like to invite you to high impact training on Managing Analyzing and Interpreting M E Data for Development Programmes in Agriculture to be held in Nairobi from 9th-20thDecember 2019

Event information

Course Name: Managing Analyzing and Interpreting M E Data for Development Programmes in Agriculture

 Venue: FineResults Research, Nairobi, Kenya

Event Date: 2nd-13th October 2023

Course Fee: KES 170,000 or USD 1900

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

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