Course Details

Monitoring and Evaluation Framework for Social Protection Interventions Training Course

INTRODUCTION

In today's complex world, social protection interventions are critical lifelines for vulnerable populations. However, simply implementing these programs isn't enough. To truly ensure these initiatives are making a difference, a robust Monitoring and Evaluation (M&E) framework is essential. This comprehensive training course provides the tools and knowledge needed to design and implement effective M&E systems specifically tailored for social protection programs. Learn to measure program effectiveness, identify areas for improvement, and demonstrate the impact of your social protection efforts.

Monitoring and evaluation framework for social protection interventions training course equips you with the skills to move beyond simple output tracking and delve into meaningful outcome and impact assessment. We will cover key aspects like indicator development, data collection and analysis, impact evaluation methodologies, and stakeholder engagement. By understanding how to effectively monitor and evaluate social protection interventions, you can ensure resources are used efficiently, programs are responsive to needs, and positive change is sustainable.

DURATION

10 days

TARGET AUDIENCE

This course is designed for professionals and individuals involved in the design, implementation, and management of social protection interventions, including:

• Program Managers and Coordinators
• M&E Officers and Specialists
• Policy Analysts and Researchers
• Government Officials in Social Welfare
• NGO and Civil Society Organization Staff

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Develop tailored M&E frameworks for social protection programs.
• Select and apply relevant indicators to measure program impact.
• Design and implement effective data collection and analysis strategies.
• Utilize evaluation findings to improve program design and implementation.
• Understand and apply ethical considerations in M&E of social protection.

COURSE MODULES

1. Foundations of M&E in Social Protection:
   • Defining M&E and its role in social protection.
   • Understanding the unique challenges of evaluating social programs.
   • Exploring key M&E concepts: relevance, effectiveness, efficiency, sustainability, impact.
   • Introducing results-based management and its application.
   • Discussing the importance of context in social protection evaluation.
2. Developing a Robust Theory of Change and Logical Framework:
   • Understanding the role of a Theory of Change in M&E.
   • Building a clear and concise Theory of Change for social protection programs.
   • Constructing a logical framework with inputs, activities, outputs, outcomes, and impacts.
   • Identifying assumptions and risks in the program design.
   • Aligning the logical framework with program goals and objectives.
3. Indicator Development and Selection for Social Impact:
   • Identifying relevant indicators for social protection interventions.
   • Developing SMART (Specific, Measurable, Achievable, Relevant, Time-bound) indicators.
   • Understanding the difference between process, output, outcome, and impact indicators.
   • Ensuring indicators are culturally sensitive and contextually appropriate.
   • Creating a comprehensive indicator tracking table.
4. Data Collection Strategies and Methodologies:
   • Designing comprehensive data collection plans.
   • Utilizing quantitative data collection methods: surveys, administrative data.
   • Implementing qualitative data collection methods: interviews, focus groups, case studies.
   • Developing effective sampling techniques and data quality assurance protocols.
   • Leveraging technology for data collection and management.
5. Quantitative Data Analysis for Social Protection Programs:
   • Applying basic statistical concepts and techniques.
   • Using statistical software (Excel, SPSS, R) for data analysis.
   • Analyzing quantitative data to measure program performance and impact.
   • Interpreting statistical findings and drawing meaningful conclusions.
   • Creating data visualizations to communicate findings effectively.
6. Qualitative Data Analysis for Deeper Insights:
   • Understanding the principles of qualitative data analysis.
   • Utilizing thematic analysis, content analysis, and narrative analysis.
   • Interpreting qualitative data to understand context and impact.
   • Identifying key themes and patterns in qualitative data.
   • Combining qualitative and quantitative data for mixed-methods evaluation.
7. Impact Evaluation Methodologies for Social Protection:
   • Understanding the importance of impact evaluation.
   • Exploring randomized controlled trials (RCTs) and quasi-experimental designs.
   • Applying difference-in-differences and propensity score matching.
   • Assessing attribution and causality in social protection programs.
   • Understanding the ethical considerations of impact evaluation.
8. Equity and Inclusion in M&E Frameworks:
   • Integrating equity and inclusion principles into M&E.
   • Developing indicators to measure equity and inclusion outcomes.
   • Addressing biases in data collection and analysis.
   • Ensuring the participation of marginalized groups in M&E.
   • Using disaggregated data to identify disparities.
9. Stakeholder Engagement and Participatory M&E:
   • Identifying key stakeholders in social protection programs.
   • Developing strategies for engaging stakeholders in M&E.
   • Utilizing participatory M&E approaches.
   • Incorporating stakeholder feedback into program improvements.
   • Building capacity for stakeholder-led M&E.
10. Reporting and Communicating Evaluation Findings:
    • Developing clear and concise evaluation reports.
    • Communicating evaluation findings to diverse audiences.
    • Utilizing data visualization techniques to present results.
    • Developing dissemination strategies for evaluation findings.
    • Translating evaluation findings into actionable recommendations.
11. Ethical Considerations in Monitoring and Evaluation:
    • Understanding ethical principles in M&E.
    • Ensuring informed consent and protecting participant privacy.
    • Addressing potential ethical dilemmas in evaluation.
    • Maintaining confidentiality and data security.
    • Promoting ethical data use and dissemination.
12. Leveraging Digital Tools for M&E Efficiency:
    • Exploring digital tools for data collection and analysis.
    • Utilizing mobile technology for real-time data collection.
    • Managing and visualizing data using online platforms and dashboards.
    • Implementing data management systems for effective M&E.
    • Using digital tools to enhance stakeholder engagement and communication.

CERTIFICATION

Upon successful completion of this training, participants will be issued with a Macskills Training and Development Institute Certificate

TRAINING VENUE

Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com