[SLS-OPT] Invitation to Advanced Monitoring and Evaluation workshop

Tue Apr 13 00:01:59 UTC 2021

Advanced 
Monitoring and Evaluation for Development Results Course-May 31 to June 11,2021 
for 10

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Here to Register  for online attendance course fee or Normal 
attendance as individual or group

FEE: All inclusive Normal Attendance $2,320.00 and 
Online $1400.00

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PDF Calendar 2021

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OFFICIAL EMAIL ADDRESS: training at fdc-k.org

Office 
Telephone: +254712260031

Register 
as a group of   5  or more participants and get 40% discount on 
course fee. 
Send us 
email to training at fdc-k.org or call +254712260031

TRAINING 
FOR ONLINE AND NORMAL ATTENDANCE AVAILABLE

INTRODUCTION
This 2 weeks training is design to impact job oriented 
skills for monitoring and evaluation that are highly demanded in the development 
industry. After following this course you will be capable of designing and 
managing Monitoring and Evaluation Systems which meet the standards of donor 
agencies.It is aimed at providing an overview of monitoring and evaluation 
methods for development results with practical applications of tools and 
methods. This course will provide participants with M&E tools, techniques 
and resources needed for planning, organizing, and/or managing programs and 
projects. Through exercises and group work, participants will learn the links 
between results-based measurement, monitoring and program evaluation. Time will 
be allocated for practical exercises and informal question and answer sessions 
around common M&E problem areas. Participants will also be provided with 
additional Resources for further study and research in the M&E 
field.
DURATION
2 Weeks
LEARNING OBJECTIVES
Learn 
  how to select data collection strategies and get acquainted with key issues 
  about measures such as credibility, reliability, validity and 
  precision
Benefit 
  from a hands-on-approach based on real life cases enabling you to immediately 
  apply the knowledge shared throughout course
Work 
  in groups together with professionals from around the world, in a 
  multicultural and diverse environment
Gain 
  insights on how multilateral agencies manage their 
  operations
Get 
  access to all the resources necessary to start your own training program on 
  Monitoring & Evaluation
Build 
  a Monitoring & Evaluation system throughout the course for a real 
  project
Use 
  data analysis software package (Stata).
Use 
  Geographic Information Systems (GIS) and GPS to gather data, collaborate and 
  share information.
Communicate 
  findings to stimulate learning and reflection.
WHO 
SHOULD ATTEND?
This course targets Project Management Officials from 
NGO’s, National Statistics Offices, Education Researchers, Government 
ministries, National Institutes and Planning Ministries, Central banks, and 
University Researchers among others.
TOPICS TO BE COVERED
M&E 
  fundamentals
Introduction 
  to M&E?
Key 
  components of M&E
Relating 
  Monitoring and evaluation to your project cycle
Identifying 
  the challenges facing Monitoring and evaluation 
  professionals
Steps 
  to implementing M&E in a project/programme
Type 
  of evaluations
Methods 
  and tools for M&E
Challenges 
  in M&E
Trends 
  towards result based M&E
Managing 
  for Development Results (MfDR)
MfDR 
  core principles
MfDR 
  and Result based management (RBM)
Defining 
  RBM
Emergence 
  of RBM and its development
Seven 
  phases of RBM
Performance 
  measurement, performance indicators and performance 
  monitoring
Logical 
  framework and results framework
Introduction 
to result based M&E
What 
  is RBM?
Results 
  based M&E outline
Result 
  based M&E cycle
Performance 
  measurement, performance indicators and performance 
  monitoring
Essential 
  actions to build result based M&E
The 
  power of measuring results
Situation 
analyses/Needs assessment
Formative 
  research
Situation 
  analysis
Needs 
  assessment
Tools 
  to conduct a needs assessment
Illustrative 
  examples of situation analysis and mappings
Baseline 
assessment
What 
  is baseline data and how is it collected?
Needs 
  assessment versus baseline study
Questions 
  to ask about a baseline plan
What 
  kind of baseline data is necessary, useful and practical to 
  collect?
Examples 
  of baseline surveys
Designing 
the M&E system
The 
  result chain
Impact 
  path ways
Logical 
  framework vs Theory of change
Developing 
  a theory of change
Components 
  of a theory of change
M&E 
frameworks
The 
  importance of M&E frameworks
Considerations 
  when developing an M&E framework
Steps 
  in developing and M&E framework
Results 
  frameworks
Logical 
  frameworks
M&E 
plans
What 
  does an M&E plan include?
Important 
  considerations for an M&E plan
When 
  should M&E be undertaken?
When 
  monitoring activities should be carried out?
When 
  should evaluations be conducted?
Can 
  M&E plans be amended?
Designing 
indicators and evidence
Defining 
  indicators
Characteristics 
  of good indicators
Challenges 
  and considerations when selecting indicators
Knowing 
  how many indicators are enough
Process 
  versus result/impact indicators
Process 
  indicators
Result 
  indicators
Output 
  indicators
Outcome 
  indicators
Impact 
  indicators
Developing 
  internationally comparable indicators
Performance 
monitoring
Definition 
  and process
Tools 
  used
Evaluation 
techniques
Evaluation 
  questions
Steps 
  to developing evaluation questions
Illustrative 
  examples
Designing 
  evaluations for stakeholder benefit and use
Choice 
  and use of qualitative and quantitative collection 
  instruments
Participatory 
  data analysis
Communicating 
  findings meaningfully for comprehensive stakeholder 
  learning
Gender 
M&E
Introduction 
  to M&E in Gender and development
Prioritizing 
  gender in M&E plans
Exploring 
  gender in M&E plans
Selecting 
  indicators to measure gender related outputs and 
  outcomes
Gender 
  considerations for data collection, interpretation and 
  use
Communicating 
M&E results
Developing 
  a communications strategy based on evaluation findings.
Communicating 
  findings to bring about change.
Presenting 
  M&E results using different media
Use 
of &M&E results
Different 
  uses of M&E results
To 
  whom to give feedback
When 
  to give feedback
How 
  to give feed back
Embedding 
  learning for personal and organizational benefit
Becoming 
  change agents for M&E.
Becoming 
  an M&E champion
Assessing 
programme impact
Introduction 
  to Impact Assessment
Programme 
  Design Implications
Impact 
  Assessment in Programme Design
Economic 
evaluations
Introduction 
  to Economic evaluation
Main 
  methods of economic evaluation
Case 
  study: cost effectiveness
Data 
collection, management and data quality
Data 
  collection methods: How to undertake data collection (quantitative and 
  qualitative)
Increasing 
  questionnaires response rates
Data 
  collection versus data analysis
Data 
  quality and data management
Data 
  quality dimensions
Functional 
  areas of data management systems
ICT 
tools for data collection, monitoring and evaluation in development 
programmes
ICT 
  innovations: Mobile data collection
Using 
  Mobile phones for data collection
Application
How 
  can we use ICTs for qualitative M&E
Introduction 
to data analysis and interpretation
Introduction
Data 
  analysis key concepts
Types 
  of variables
Basic 
  analysis
Summarizing 
data
Numerical 
  summaries for discrete variables
Tables 
  for dichotomous variables
Tables 
  for categorical variables
Tables 
  for ordinal variables
Graphs 
  and charts for dichotomous and categorical variables
Graphs 
  and charts for ordinal variables
Tabulations 
  for summary statistics for continuous variables
Graphs 
  and charts for continuous variables
Introduction 
to qualitative data analysis
Planning 
  for qualitative data analysis
Reviewing 
  the data
Organizing 
  your data
Coding 
  the data
Introduction 
  to using a qualitative data analysis software 
(NVivo)
Quantitative 
data analysis using STATA/SPSS/EXCEL/R/PHYTHON
Planning 
  for quantitative data analysis
Comparison 
  of Data analysis packages
Basics 
  for statistical analysis
Testing 
  for normality of data
Choosing 
  the correct statistical test
Tests 
  Hypothesis testing
Confidence 
  intervals
Hypothesis 
  testing versus confidence intervals
Interpreting 
  the data
GIS 
techniques for M&E of development programmes
What 
  is GIS?
Geographic 
  approaches to development
GIS 
  advantages for M&E
Using 
  GIS software and data
Data 
  sources for development issues
GIS 
  analysis and mapping techniques
Economic 
techniques
Introduction 
  to Economic evaluation
Main 
  methods of economic evaluation
Case 
  study: cost effectiveness

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.
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Research 
              Design, SurveyCTO mobile data collection,GIS mapping and data 
              analysis using NVIVO and SPSS 
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Looking 
forward to your registration and attendance.Result Based skills 
Development

Regards,
FDC Training Team
Telephone office: +254712260031
Email training at fdc-k.org

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