INTRODUCTION
The projects implemented
by organizations need to be aligned with the objectives of the institution to
be effective. This course is aimed to
guide development organizations to conduct precise and appropriate project
evaluations, and then communicate and use the results of evaluation.
COURSE OBJECTIVES
By the end of this
course the participants will be able to:
·
Understand the
difference between monitoring and evaluation
·
Identify project
indicators for evaluation
·
Design and plan for
an evaluation
·
Apply mixed methods
of data collection during evaluation
·
Perform both
quantitative and qualitative data analysis
·
Use findings to
make evaluation conclusions and recommendations
DURATION
10 days
WHO SHOULD ATTEND
This course is
targeted at researchers, project staff, managers, development practitioners,
policy makers in government, NGOs and development organizations who want to
determine the performance of their interventions.
COURSE OUTLINE
Overview of M&E
Fundamentals for Project Evaluation
·
Results Framework
·
Project Indicators
of M&E
·
Logical Framework
Introduction to
Project Evaluation
·
Meaning of project
evaluation
·
Project evaluation
importance
·
Monitoring versus
Evaluation
·
Design of Project
Evaluation
Developing
Evaluation Plan
·
Purpose of
Evaluation
·
Evaluations Types
·
Criteria of Evaluation
·
Evaluation
Questions Development
Planning for Data
Collection
·
Evaluation Data
Sources Identification
·
Data Collection
Methods
·
Data Analysis
Methods
·
Completing
Evaluation Matrix
Organizing
Evaluation Work
·
Tasks Distribution
·
Evaluation Work
plan
·
Evaluation Budget
Implementing
Evaluation Plan
·
Evaluation
Indicators Identification
·
Evaluation Tools
·
Use of Monitoring
data in evaluation
·
Mixed methods of
data collection management
Mobile Data
Collection
·
Conversion of paper
based questions to ODK forms
·
Configuration of
ODK server aggregate
·
Collection of field
data using ODK collect
·
Export of data from
ODK for further analysis
Quantitative Data
Analysis – (Using SPSS/Stata)
·
Introducing
statistical concepts
·
Variables creation
and data entry
·
Reconstruction of
data
·
Manipulation of
Variables
·
Descriptive
statistics
·
Data weighting
·
Inferential
statistics: hypothesis testing, T-test, ANOVA, regression analysis
Qualitative Data
Analysis
·
Qualitative data
analysis principles
·
Preparation of data
for qualitative analysis
·
Linking and
integrating multiple data sets in different forms
·
Qualitative data
Thematic analysis
·
Qualitative data
Content analysis
·
Using Nvivo to
manipulate and analyze data
·
Data triangulation
Developing
Evaluation Findings
·
Evaluation Matrix
Consolidation
·
Data triangulation
·
Developing
evaluation questions answers
Evaluation Report
·
Conclusions
·
Recommendations
·
Final evaluation
report
·
Dissemination of
evaluation results
GENERAL NOTES
·
This course is delivered by our seasoned trainers who have
vast experience as expert professionals in the respective fields of practice.
The course is taught through a mix of practical activities, theory, group works
and case studies.
·
Training manuals and additional reference materials are
provided to the participants.
·
Upon successful completion of this course, participants will
be issued with a certificate.
·
We can also do this as tailor-made course to meet
organization-wide needs. Contact us to find out more: training@skillsforafrica.org
· The training will be conducted at SKILLS FOR AFRICA TRAINING INSTITUTE IN NAIROBI KENYA.
·
The training fee covers tuition fees, training materials,
lunch and training venue. Accommodation and airport transfer are arranged for
our participants upon request.
·
Payment should be sent to our bank account before start of
training and proof of payment sent to:
training@skillsforafrica.org
Dates | Fees | Location | Apply |
---|---|---|---|
14/10/2024 - 25/10/2024 | $3950 | Kigali | Physical Class Online Class |
11/11/2024 - 22/11/2024 | $3000 | Mombasa | Physical Class Online Class |
09/12/2024 - 20/12/2024 | $3000 | Nairobi | Physical Class Online Class |