[PT2021] Monitoring and Evaluation Workshop Invitation

Fri Mar 17 18:07:26 EDT 2023

Datastat 
Training Center invites You For 
Training 
Workshop on:
ResultBased 
Monitoring and Evaluation for Development 
Results

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About 
the course

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:
i.        Determine 
the relevant stakeholders involved in monitoring and evaluation of 
projects
ii.      Clarify 
key project results levels
iii.   Design 
a project using logical framework
iv.   Develop 
indicators and targets for each result level
v.      Track 
performance indicators over the life of the project
vi.   Evaluation 
a project against the set results
vii. Develop 
and implement an M&E system
viii.  Develop 
a comprehensive monitoring and evaluation plan
Course 
Content
Module 
I: Introduction 
to Results Based Project Management
a.      Fundamentals 
of Results Based Management
b.      Why 
is RBM important?
c.       Results 
based management vs traditional projects management
d.     RBM 
Lifecycle (seven phases)
e.      Areas 
of focus of RBM
Module 
II: Fundamentals 
of Monitoring and Evaluation
a.      Definition 
of Monitoring and Evaluation
b.      Why 
Monitoring and Evaluation is important
c.       Key 
principles and concepts in M&E
d.     M&E 
in project lifecycle
e.      Participatory 
M&E
Module 
III: Project 
Analysis
a.      Situation 
Analysis
b.      Needs 
Assessment
c.       Strategy 
Analysis
Module 
IV: Design 
of Results in Monitoring and Evaluation
a.      Results 
chain approaches: Impact, outcomes, outputs and activities
b.      Results 
framework
c.       M&E 
causal pathway
d.     Principles 
of planning, monitoring and evaluating for results
Module 
V: M&E 
Indicators
a.      Indicators 
definition
b.      Indicator 
metrics
c.       Linking 
indicators to results
d.     Indicator 
matrix
e.      Tracking 
of indicators
Module 
VI: Logical 
Framework Approach
a.      LFA 
– Analysis and Planning phase
b.      Design 
of logframe
c.       Risk 
rating in logframe
d.     Horizontal 
and vertical logic in logframe
e.      Using 
logframe to create schedules: Activity and Budget schedules
f.        Using 
logframe as a project management tool
Module 
VII: Theory 
of Change
a.      Overview 
of theory of change
b.      Developing 
theory of change
c.       Theory 
of Change vs Log Frame
d.     Case 
study: Theory of change
Module 
VIII: M&E 
Systems
a.      What 
is an M&E System?
b.      Elements 
of M&E System
c.       Steps 
for developing Results based M&E System
Module 
IX: M&E 
Planning
a.      Importance 
of an M&E Plan
b.      Documenting 
M&E System in the M&E Plan
c.       Components 
of an M&E Plan-Monitoring, Evaluation, Data management, 
Reporting
d.     Using 
M&E Plan to implement M&E in a Project
e.      M&E 
plan vs Performance Management Plan (PMP)
Module 
X: Baseline 
Survey in Results based M&E
a.      Importance 
of baseline studies
b.      Process 
of conducting baseline studies
c.       Baseline 
study vs evaluation
Module 
XI: Project 
Performance Evaluation
a.      Process 
and progress evaluations
b.      Evaluation 
research design
c.       Evaluation 
questions
d.     Evaluation 
report Dissemination
Module 
XII: Impact 
Evaluation
a.      Why 
impact evaluation is important
b.      Project 
attribution
c.       Counterfactual 
in IE
d.     Analysis 
techniques in IE;DID, PSM
Module 
XIII: M&E 
Data Management
a.      Different 
sources of M&E data
b.      Qualitative 
data collection methods
c.       Quantitative 
data collection methods
d.     Participatory 
methods of data collection
e.      Data 
Quality Assessment
Module 
XIV: M&E 
Results Use and Dissemination
a.      Stakeholder’s 
information needs
b.      Use 
of M&E results to improve and strengthen projects
c.       Use 
of M&E Lessons learnt and Best Practices
d.     Organization 
knowledge champions
e.      M&E 
reporting format
f.        M&E 
results communication strategies
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.

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Check 
our calendar: 
 Contact 
us Via:
Mobile 
No: +254724527104 or +254734969612
Email 
Add: info at datastatresearch.org

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