Course Overview
The Advanced Monitoring & Evaluation Techniques course is designed for professionals looking to deepen their understanding of M&E practices, methodologies, and tools. This course focuses on advanced concepts in monitoring and evaluation, equipping participants with the skills to design and implement comprehensive M&E frameworks, utilize data for decision-making, and ensure effective program management. The course covers both qualitative and quantitative methods, with a strong emphasis on real-world application, data analysis, and reporting.
Course Duration
10 Days
Who Should Attend
The course is designed for experienced M&E professionals, researchers, and program managers seeking to enhance their skills in designing and conducting rigorous evaluations. Participants should have a solid foundation in basic M&E principles and practices.
Course Level: IntermediateCourse Objectives
By the end of this course, participants will be able to:
- Apply advanced M&E techniques to complex program evaluations
- Design and conduct rigorous impact evaluations
- Utilize advanced data analysis methods for in-depth insights
- Develop and implement theory-based evaluations
- Incorporate mixed methods approaches for comprehensive evaluation
- Assess program efficiency and cost-effectiveness
- Utilize advanced M&E software and tools
- Communicate complex evaluation findings effectively to diverse audiences
- Lead and manage complex M&E teams and projects
- Contribute to the advancement of the M&E field
Course Outline:
Module 1: Advanced Impact Evaluation Methods
- Experimental and quasi-experimental designs
- Difference-in-differences and matching methods
- Impact path analysis
- Panel data analysis
Module 2: Theory-Based Evaluation
- Developing program theories
- Theory-driven evaluation designs
- Outcome mapping and logic modeling
- Using theories of change for evaluation
Module 3: Mixed Methods Research
- Integrating qualitative and quantitative data
- Mixed methods designs
- Data triangulation and convergence
- Qualitative data analysis techniques
Module 4: Cost-Effectiveness and Efficiency Analysis
- Cost-benefit analysis
- Cost-effectiveness analysis
- Efficiency measurement
- Resource allocation optimization
Module 5: Advanced Data Analysis Techniques
- Multivariate analysis
- Structural equation modeling
- Meta-analysis
- Data mining and machine learning
Module 6: Monitoring and Evaluation Systems Design
- Performance management frameworks
- Results-based management
- Designing adaptive management systems
- Building learning organizations
Module 7: Evaluation Ethics and Quality Assurance
- Ethical considerations in evaluation
- Ensuring rigor and validity
- Peer review and quality improvement
- Ethical reporting and dissemination
Module 8: M&E for Complex Interventions
- Evaluating multi-sectoral programs
- Evaluating capacity building interventions
- Evaluating policy interventions
Module 9: Using M&E for Policy and Advocacy
- Evidence-based policymaking
- Advocacy and communication strategies
- Influencing policy and practice
Module 10: Leadership and Management in M&E
- Leading M&E teams
- Managing complex M&E projects
- Building M&E capacity
- Mentoring and coaching
