After spending a lot of resources and time implementing projects, organizations need to look back and determine whether they were able to meet the objectives of their interventions. This course is aimed to guide development organizations 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

Course 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
• M&E Project Indicators
• Logical Framework

Introduction to Project Evaluation

• What is project evaluation?
• Importance of project evaluation
• Monitoring vs Evaluation
• Project Evaluation design

Developing Evaluation Plan

• Evaluation Purpose
• Types of Evaluations
• Evaluation Criteria
• Developing Evaluation Questions

Planning for Data Collection

• Identifying Evaluation Data Sources
• Methods for Data Collection
• Methods for Data Analysis
• Completing Evaluation Matrix

Organizing Evaluation Work

• Distribution of tasks
• Developing Evaluation Work plan
• Developing Evaluation Budget

Implementing Evaluation Plan

• Identifying Evaluation Indicators
• Developing Evaluation Tools
• Use of Monitoring data in evaluation
• Managing mixed methods of data collection

Mobile Data Collection

• Conversion of paper-based questions to ODK forms
• Configuration of ODK server aggregate
• Field data collection using ODK collect
• Export of data from ODK for further analysis

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

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
• Data triangulation

Developing Evaluation Findings

• Consolidating Evaluation Matrix
• Data triangulation
• Constructing answers to evaluation questions

Evaluation Report

• Developing Conclusions
• Developing actionable recommendations
• Delivering final evaluation report
• Evaluation results dissemination

Course Booking

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