Training Course on M&E for Development Results


Datastat Research Consultancy

Training Course on M&E for Development Results

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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:

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.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

We  also offer online training

Course Fee: Ksh 80,000, USD 900

Contact Us
Mobile No: +254724527104/ +254734969612

Email Add: [email protected]

Postal Add: 5402-00100

Head Office: Comet House , Along Monrovia Street, Nairobi, Kenya

Visit our website:www.datastatresearch.org

 

To register for this event email your details to datastatresearch@gmail.com

Register using webmail: Gmail / AOL / Yahoo / Outlook

 

Date And Time

2021-05-17 to
2021-05-21
 

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