Datastat Research

INTRODUCTION

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&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 & Researchers, Planners & Monitors and Evaluators, NGOS & Government Ministries and Central Banks & 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&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&E
M&E in project lifecycle
Participatory M&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&E causal pathway
Principles of planning, monitoring and evaluating for results

M&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&E Systems

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

M&E Planning

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

Baseline Survey in Results based M&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&E Data Management

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

M&E Results Use and Dissemination

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

Start Date: 08/19/2019
End Date: 08/23/2019

Registration for this course has been closed. Please click ALL COURSES to view more future courses

Course Description

Course Duration: 5 days

Training Center: Datastat Research Center

Start Date: 08/19/2019

End Date: 08/23/2019

Registration for this course has been closed. Please click ALL COURSES to view more future courses