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      Managing, Analysing and Interpreting M&E Data for Development Programmes in Agriculture in Nairobi


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      August 10, 2020

      Monday   8:00 AM - 5:00 PM

      Nairobi, Nairobi Municipality

      Performers:
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      EVENT DETAILS
      Managing, Analysing and Interpreting M&E Data for Development Programmes in Agriculture

      FineResults Research Services invites you to training on:
      Topics: Managing, Analysing and Interpreting M&E Data for Development Programmes in Agriculture
      Date: 10th to 21st August 2020
      Cost: USD 1600 or Ksh 120,000
      Contacts: +254 759 285 295, training@fineresultsresearch.org.
      Venue : FineResults Research, Nairobi, Kenya Training Centre.
      Enroll :Online training

      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


      NB: We are offering you a half day, fun and interactive team building event!
      Be part of the Training
      • Click HERE for the individual registration.

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