Workshop on Project Monitoring and Evaluation with Data Management

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Workshop on Project Monitoring and Evaluation with Data Management

Foscore Development Center,Kenya

Project Monitoring and Evaluation with Data Management and Analysis course-Nov 18 to Nov 29,2019 for 10 Days
Register online to attend: 
Download PDF 2019 Calendar
Organizer : Foscore Development Center(
Venue: Meridian hotel, Nairobi,Kenya
Course Fee inclusive of VAT: $ 2,320.00
About the course
This is a comprehensive 10 days M&E 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 M&E data management, analysis and reporting. The participants will benefit from the latest M&E 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 M&E system coupled with a practical project to illustrate the M&E 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 M&E. The course aims to enhance the skills of professionals who need to research, supervise, manage, plan, implement, monitor and evaluate development projects.
Course duration
10 days
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 M&E 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 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)

Base 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

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

Gender Perspective in M&E

Importance of gender in M&E
Integrating gender into program logic
Setting gender sensitive indicators
Collecting gender disaggregated data
Analyzing M&E data from a gender perspective
Appraisal of projects from a gender perspective

Data Collection Tools and Techniques

Sources of M&E 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
M&E 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 M&E

Introduction to GIS in M&E
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 participant within east Africa and more than twenty participant all over the world.
·         Course duration is flexible and the contents can be modified to fit any number of days.
·         Th

Event Summary:

Event: Project Monitoring and Evaluation with Data Management and Analysis course
Date: Monday, November 18, 2019 at 8:30 AM <span class="pipe">-</span> Friday, November 29, 2019 at 11:30 AM (EAT)
Location: &lt;b&gt;FOSCORE DEVELOPMENT CENTER&lt;/b&gt;&lt;br /&gt;Wabera Lane&lt;br /&gt;Nairobi 208&lt;br /&gt;Kenya

Event Details:

This is a comprehensive 10 days M&E course that covers the principles and practices for results based monitoring and evaluation

Hosted By:
Foscore Development Center

Register Online:

More information and online registration are available here:


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