Project Monitoring and Evaluation with Data Management and Analysis August workshop 2022 Nairobi Kenya

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Project 
Monitoring and Evaluation with Data Management and Analysis  August 
workshop 2022
15/08/2022 To 26/08/202210 
      DaysNairobi 
      KenyaUSD 
      2,000
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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 in English
·         Presentations 
are well-guided, practical exercises, web-based tutorials, and group work. Our 
facilitators are experts with more than 10 years of experience.
·         Upon 
completion of training the participant will be issued with a Foscore development 
center certificate (FDC-K)
·         Training 
will be done at the Foscore development center (FDC-K) centers. We also offer 
inhouse and online training on the client schedule
·         Course 
duration is flexible and the contents can be modified to fit any number of 
days.
·         The 
course fee for onsite training includes facilitation training materials, 2 
coffee breaks, a buffet lunch, and a Certificate of successful completion of 
Training. Participants will be responsible for their own travel expenses and 
arrangements, airport transfers, visa application dinners, health/accident 
insurance, and other personal expenses.
·         Accommodation, 
pickup, freight booking, and Visa processing arrangement, are done on request, 
at discounted prices.
·         Tablet 
and Laptops are provided to participants on request as an add-on cost to the 
training fee.
·         One-year free 
Consultation and Coaching provided after the course.
·         Register 
as a group of more than two and enjoy a discount of (10% to 50%)
·         Payment 
should be done before commence of the training or as agreed by the parties, to 
the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for 
you.
·         For 
any inquiries reach us at training at fdc-k.org or 
+254712260031
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Indicative 
Budget
The 
registration cost is indicated in every course for online and onsite trainings 
find the group rate discount below: 

Group 
      Size
Discount 
      Rate for Group
2-7
20%
8-21
25%
22-31
30%
32-41
35%
42-51
40%
52> 
      Above
50%
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