⬅ Previous Next ➡ Lesson 1: Types of Evaluation Objective By the end of this lesson, learners should be able to identify and distinguish different types of evaluations, understand their purposes in Monitoring and Evaluation (M&E), and select the appropriate evaluation type for specific project needs. Lesson Content Evaluations are essential in Monitoring and Evaluation (M&E) because they assess project performance, measure outcomes, and inform decision-making . Different types of evaluations serve different purposes, and choosing the right type ensures relevant and actionable results. 1. Formative Evaluation Formative evaluations are conducted during project implementation to improve design, processes, and delivery. They help identify challenges early, enabling timely adjustments. Purpose: Improve project strategies, training methods, or interventions. Methods: Observations, pilot studies, interviews, focus group discussions. Exa...

⬅ Previous Next ➡ Lesson 1: Excel for Quantitative Analysis Objective By the end of this lesson, learners should be able to use Microsoft Excel for quantitative data analysis, apply basic and intermediate functions, and generate tables and charts to support Monitoring and Evaluation (M&E) decision-making. Lesson Content Microsoft Excel is one of the most widely used tools for quantitative data analysis in Monitoring and Evaluation (M&E). It allows project teams to organize, calculate, analyze, and visualize data efficiently, supporting evidence-based decision-making. 1. Organizing Data in Excel Rows and Columns: Place each observation (e.g., survey respondent) in a row and each variable (e.g., age, income, training completion) in a column. Headers: Use clear, descriptive headers for each column to avoid confusion during analysis. Consistency: Ensure data entries follow a consistent format (e.g., dates in DD/MM/YYYY, numbers with...

⬅ Previous Next ➡ Lesson 1: Data Cleaning & Validation  Objective By the end of this lesson, learners should be able to understand the importance of data cleaning and validation, identify common errors in datasets, and apply techniques to ensure high-quality, reliable data for Monitoring and Evaluation (M&E). Lesson Content In Monitoring and Evaluation (M&E), collecting data is just the first step. High-quality data is essential for accurate analysis, decision-making, and reporting. This is where data cleaning and validation come in. These processes ensure that errors, inconsistencies, or missing values do not compromise the usefulness of your data. 1. What is Data Cleaning? Data cleaning is the process of identifying and correcting errors in datasets. Common issues include: Duplicate entries Missing or incomplete responses Typographical errors Inconsistent formatting (e.g., dates written differently) Outliers or un...

⬅ Previous Next ➡ Lesson 1: Quantitative & Qualitative Methods  Objective By the end of this lesson, learners should be able to distinguish between quantitative and qualitative data collection methods, understand their applications in Monitoring and Evaluation (M&E), and select the appropriate method for different project needs. Lesson Content In Monitoring and Evaluation (M&E), data is the foundation for decision-making, learning, and accountability. There are two main types of data: quantitative and qualitative . Understanding the difference between them and knowing when to use each is essential for effective project management. 1. Quantitative Methods Quantitative methods focus on numbers and measurable facts . They are used to answer questions such as how many , how often , or how much . Quantitative data is structured, easy to analyze statistically, and useful for tracking progress against targets. Common quantitative methods i...