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Training on M and E for Development Results

By: Datastat Research Center

Kenya

15 - 19 Jun, 2020  5 days

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USD 900

Venue: Datastat Training Center, Nairobi, Kenya

This course equips participants with skills in setting up and implementing results-based monitoring and evaluation systems. The participants will benefit from the latest M and E practices including the results and participatory approaches. This course will bring learning to practice for participants to learn about the results levels and their linkage with indicators and techniques for tracking and assessing the progress of a project with the aim of achieving long term results.

Who Should Attend?

This course is meant for Project Managers, Statisticians and Researchers, Planners and Monitors and Evaluators, NGOS and Government Ministries and Central Banks and Universities

Learning Objectives

By the end of this course the participants will be able to:

  • Determine the relevant stakeholders involved in monitoring and evaluation of projects
  • Clarify key 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 an M and E system
  • Develop a comprehensive monitoring and evaluation plan

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 M and E
  • M and E in project lifecycle
  • Participatory M and E

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
  • M and E causal pathway
  • Principles of planning, monitoring and evaluating for results

M and E 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

M and E Systems

  • What is an M and E System?
  • Elements of M and E System
  • Steps for developing Results based M and E System

M and E Planning

  • Importance of an M and E Plan
  • Documenting M and E System in the M and E Plan
  • Components of an M and E Plan-Monitoring, Evaluation, Data management, Reporting
  • Using M and E Plan to implement M and E in a Project
  • M and E plan vs Performance Management Plan (PMP)

Baseline Survey in Results based M and E

  • 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

Impact Evaluation

  • Why impact evaluation is important
  • Project attribution
  • Counterfactual in IE
  • Analysis techniques in IE; DID, PSM

M and E Data Management

  • Different sources of M and E data
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory methods of data collection
  • Data Quality Assessment

M and E Results Use and Dissemination

  • Stakeholder’s information needs
  • Use of M and E results to improve and strengthen projects
  • Use of M and E Lessons learnt and Best Practices
  • Organization knowledge champions
  • M and E reporting format
  • M and E results communication strategies

Requirements

  • Participants should be reasonably proficient in English.

Methodology

The instructor led trainings are 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.

Datastat Training Center, Nairobi, Kenya Jun 15 - 19 Jun, 2020
USD 900.00
(Convert Currency)

Sammy +254724527104

Datastat Research
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