Virtual Monitoring and Evaluation Training
This training is designed to equip Young and Emerging Evaluators (YEES) and other early career professionals with the essential skills and knowledge to excel in the Monitoring and Evaluation (M&E). With the increasing importance of data-driven, evidence based and model oriented decision-making in development programs, this training will introduce participants to practical approaches, resources, platforms and tools that are shaping the M&E landscape. The goal is to empower participants to drive meaningful M&E processes that contribute to enhanced project outcomes and informed decision-making
- 25th - 26th November, 2024
- Virtual
Training Modules
Introduction to Results-Based Monitoring and Evaluation
This module introduces participants to the core principles and frameworks that form the backbone of effective M&E.
Overview of M&E concepts, frameworks, and principles: Participants will gain an understanding of key M&E concepts such as inputs, outputs, outcomes, and impact. We will explore frameworks like Logical Framework (LogFrame) and Theory of Change, showing how they guide program design and evaluation.
Understanding the results chain, from inputs to outcomes and impact: Participants will learn how to map out the entire results chain, linking project activities (inputs) to tangible outputs and long-term impacts. For instance, a youth empowerment program may use training workshops (input) to generate improved skills and employability (outcome), eventually contributing to reduced youth unemployment (impact).
Practical applications of M&E in real-world projects: This section will cover case studies from sectors such as health, education, and livelihoods. For example, we will examine how M&E was applied in a rural health intervention to track the reduction of malaria cases over time
Designing Monitoring and Evaluation Tools
This module provides hands-on guidance on creating effective tools to capture relevant data for M&E processes.
Step-by-step guide to designing robust M&E tools and systems: Participants will be walked through the design of M&E systems, including identifying indicators, setting baselines, and creating performance monitoring plans. For instance, for an education project, indicators such as student attendance rates and test score improvements will be used.
Best practices for ensuring M&E processes are aligned with project objectives: This section will focus on aligning M&E tools with the overall goals of the project to ensure data collected is relevant. For example, in a microfinance initiative, tools should measure not just the number of loans given but also the increase in household income among loan recipients.
Interactive session on designing surveys, checklists, and data collection forms: Participants will practice designing key M&E tools. Using a water and sanitation project as an example, we will create survey questions to assess household access to clean water, and design checklists for monitoring water infrastructure maintenance.
Data Collection, Analysis, and Tools for M&E
This module focuses on data collection methodologies and analysis tools that are essential for effective M&E.
Understanding quantitative and qualitative data collection methods: Participants will explore both quantitative methods (e.g., structured surveys, numerical data) and qualitative methods (e.g., focus groups, interviews). For example, in a public health program, quantitative methods could involve surveying the number of vaccinations administered, while qualitative methods could assess community perceptions of vaccine effectiveness through interviews.
Introduction to key data analysis techniques: This section will cover data analysis techniques for quantitative and qualitative data. Participants will learn to interpret data trends and patterns, such as how to analyze survey data from a nutrition program to identify factors contributing to child malnutrition.
Practical session on using M&E software and tools: Participants will get hands-on experience using popular M&E tools such as KoboToolbox. For instance, participants will enter real-time field data using KoboToolbox for tracking school enrollment rates
Individual (Early Bird)
-
Access to Course Materials
-
Access to Live Training Sessions
-
Certificate of Completion
Group/Organization
-
Access to Course Materials
-
Access to Live Training Sessions
-
Certificate of Completion
Individual
-
Access to Course Materials
-
Access to Live Training Sessions
-
Certificate of Completion
Group/Organization
-
Access to Course Materials
-
Access to Live Training Sessions
-
Certificate of Completion
