Monitoring, Evaluation, Accountability and Learning (MEAL)- Comprehensive

This practitioners’ course introduces participants to the full cycle of monitoring and evaluation and introduces contemporary concepts, tools, and emerging practices in the field. The course is helpful for practitioners who already working in development programming, monitoring, evaluation, impact, program quality and effectiveness, learning and accountability, and roles and would like to refresh or improve their practical work effectiveness. The course is also useful for anyone who would like to set a career footpath into the monitoring, evaluation, and impact assessment field in the development world. In addition to gaining new insights into the standard concepts and practices in the monitoring and evaluation field, you will get acquainted with contemporary and emerging concepts and practices such as results-based management, results-based financing, impact assessment, outcome mapping, and outcome harvesting. Your experience with the course will depend on your professional practice level and the weeks or course levels you sign up for. You will benefit from the latest M&E thinking and practices including the results-based evaluation and participatory approaches and get familiar with basic statistics for M&E.

What you will learn – the key topics

• Monitoring and Evaluation Concepts and Term
• Results-Based Monitoring and Evaluation
• Log frame as a Planning, Monitoring, and Evaluation tool
• Hierarchy of Objectives (Impact, Outcomes, and Outputs)
• Setting and Using Performance Indicators
• Assumptions and Risks Analysis
• Outcome Mapping in Participatory Monitoring and Evaluation
• Designing and Implementing the M&E Plan
• Practical Monitoring Activity (field-based)
• Evaluating programs/projects
• Results based Management Principles as applicable to M&E
• Outcome Mapping in Participatory Monitoring and Evaluation
• Impact Assessment and Outcome Harvesting
• Results based Financing and Value for Money
• Designing Tools for Participatory M&E Data Collection
• Most Significant Change Technique
• Management Information Systems
• Qualitative Data Analysis
• M&E Data Collection, Analysis, and Reporting  (Field based)
• Basic introduction to SPSS package
• Questionnaire development and Coding
• Development of SPSS Coding Sheet (Variable view)
• Data Entry and Data Cleaning
• Basic Data Analysis using SPSS
• Presentation of M&E Data
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