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
Physical training: 5 Days
Online training : 5 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: Info@skyrokersinstitute.com
- The training will be conducted at Skyrokers Training and Consultancy Institute, 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: Info@skyrokersinstitute.com
