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Project Monitoring and Evaluation with Data Management and Analysis Course

By: Foscore Development Center

Kenya

11 - 22 Feb, 2019  12 days

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USD 2,000

This is a comprehensive 10 days MandE course that covers the principles and practices for results-based monitoring and evaluation for the entire project life cycle. This course equips participants with skills in setting up and implementing results-based monitoring and evaluation systems including MandE data management, analysis and reporting. The participants will benefit from the latest MandE thinking and practices including the results and participatory approaches. This course is designed to enable the participants become experts in monitoring and evaluating their development projects. The course covers all the key elements of a robust MandE system coupled with a practical project to illustrate the MandE concepts. 

Target Participants

This course is designed for researchers, project staff, development practitioners, managers and decision makers who are responsible for project, program or organization-level MandE. The course aims to enhance the skills of professionals who need to research, supervise, manage, plan, implement, monitor and evaluate development projects.

Course objectives

  • Develop project results levels
  • Design a project using logical framework
  • Develop indicators and targets for each result level
  • Track performance indicators over the life of the project
  • Evaluation a project against the set results
  • Develop and implement MandE systems
  • Develop a comprehensive monitoring and evaluation plan
  • Use data analysis software (Stata/SPSS/R)
  • Collect data using mobile data collection tools
  • Carryout impact evaluation
  • Use GIS to analyze and share project data

Course Outline

  • Introduction to Results Based Project Management
  • Fundamentals of Results Based Management
  • Why is RBM important?
  • Results based management vs traditional projects management
  • RBM Lifecycle (seven phases)
  • Areas of focus of RBM
  • Fundamentals of Monitoring and Evaluation
  • Definition of Monitoring and Evaluation
  • Why Monitoring and Evaluation is important
  • Key principles and concepts in MandE
  • MandE in project lifecycle
  • Participatory MandE
  • Project Analysis
  • Situation Analysis
  • Needs Assessment
  • Strategy Analysis
  • Design of Results in Monitoring and Evaluation
  • Results chain approaches: Impact, outcomes, outputs and activities
  • Results framework
  • MandE causal pathway
  • Principles of planning, monitoring and evaluating for results
  • MandE Indicators
  • Indicators definition
  • Indicator metrics
  • Linking indicators to results
  • Indicator matrix
  • Tracking of indicators
  • Logical Framework Approach
  • LFA – Analysis and Planning phase
  • Design of logframe
  • Risk rating in logframe
  • Horizontal and vertical logic in logframe
  • Using logframe to create schedules: Activity and Budget schedules
  • Using logframe as a project management tool
  • Theory of Change
  • Overview of theory of change
  • Developing theory of change
  • Theory of Change vs Log Frame
  • Case study: Theory of change
  • MandE Systems
  • What is an MandE System?
  • Elements of MandE System
  • Steps for developing Results based MandE System
  • MandE Planning
  • Importance of an MandE Plan
  • Documenting MandE System in the MandE Plan
  • Components of an MandE Plan-Monitoring, Evaluation, Data management, Reporting
  • Using MandE Plan to implement MandE in a Project
  • MandE plan vs Performance Management Plan (PMP)
  • Base Survey in Results based MandE
  • Importance of baseline studies
  • Process of conducting baseline studies
  • Baseline study vs evaluation
  • Project Performance Evaluation
  • Process and progress evaluations
  • Evaluation research design
  • Evaluation questions
  • Evaluation report Dissemination
  • MandE Data Management
  • Different sources of MandE data
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory methods of data collection
  • Data Quality Assessment
  • MandE Results Use and Dissemination
  • Stakeholder’s information needs
  • Use of MandE results to improve and strengthen projects
  • Use of MandE Lessons learnt and Best Practices
  • Organization knowledge champions
  • MandE reporting format
  • MandE results communication strategies
  • Gender Perspective in MandE
  • Importance of gender in MandE
  • Integrating gender into program logic
  • Setting gender sensitive indicators
  • Collecting gender disaggregated data
  • Analyzing MandE data from a gender perspective
  • Appraisal of projects from a gender perspective
  • Data Collection Tools and Techniques
  • Sources of MandE data –primary and secondary
  • Sampling during data collection
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory data collection methods
  • Introduction to data triangulation
  • Data Quality
  • What is data quality?
  • Why data quality?
  • Data quality standards
  • Data flow and data quality
  • Data Quality Assessments
  • MandE system design for data quality
  • ICT in Monitoring and Evaluation
  • Mobile based data collection using ODK
  • Data visualization - info graphics and dashboards
  • Use of ICT tools for Real-time monitoring and evaluation
  • Qualitative Data Analysis
  • Principles of qualitative data analysis
  • Data preparation for qualitative analysis
  • Linking and integrating multiple data sets in different forms
  • Thematic analysis for qualitative data
  • Content analysis for qualitative data
  • Manipulation and analysis of data using NVivo
  • Quantitative Data Analysis – (Using SPSS/Stata)
  • Introduction to statistical concepts
  • Creating variables and data entry
  • Data reconstruction
  • Variables manipulation
  • Descriptive statistics
  • Understanding data weighting
  • Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis
  • Impact Assessment
  • Introduction to impact evaluation
  • Attribution in impact evaluation
  • Estimation of counterfactual
  • Impact evaluation methods: Double difference, Propensity score matching
  • GIS in MandE
  • Introduction to GIS in MandE
  • GIS analysis and mapping techniques
  • Data preparation for geospatial analysis
  • Geospatial analysis using GIS software (QGIS)

General Notes

  • All our courses can be Tailor-made to participants needs
  • The participant must be conversant with English
  • Presentations are well guided, practical exercise, web-based tutorials and group work. Our facilitators are expert with more than 10years of experience.
  • Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)
  • Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participants within east Africa and more than twenty participant all over the world.
Foscore Development Center, Nairobi Kenya Feb 11 - 22 Feb, 2019

Class Session: 08:30:am - 04:30:am

USD 2,000.00
(Convert Currency)

Jackson Munene +254 712260031

A discount of 10% to 50% for a group of more than two
Foscore Development Center
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