INTRODUCTION

In order for initiatives carried out by organizations to be successful, they must be in line with their goals. This training is designed to help development organizations evaluate projects accurately and appropriately, then explain and use the findings.

COURSE OBJECTIVES

By the end of the course, participants will be able to:

• Recognize project indicators for evaluation;
• Design and plan an evaluation;
• Apply mixed methods of data collection during evaluation;
• Perform both quantitative and qualitative data analysis;
• Use evaluation findings to make evaluation conclusions and recommendations.

DURATION

10 days 

WHO SHOULD ATTEND

Researchers, project workers, managers, development practitioners, policy makers in government, NGOs, and development organizations who want to assess the efficacy of their activities are the target audience for this course.

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

• Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
• The participants receive training manuals and supplementary reading materials.
• Participants who complete this course successfully will receive a certificate.
• We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
• The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
• The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
• Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org