Executive Development Programme in Evaluating Program Effectiveness

This course is designed for senior executives and managers seeking to enhance their skills in evaluating program effectiveness. Participants will learn to apply robust evaluation methods to measure the impact of organizational initiatives accurately, ensuring resource allocation and strategic alignment.

Gain comprehensive tools for data analysis, critical thinking, and decision-making based on evidence. Develop the ability to design, implement, and interpret evaluations that drive informed strategic planning and continuous improvement in your organization.

1. 1. Introduction to Program Evaluation: Learners will study the basics of program evaluation, including its importance and key principles. They will gain foundational skills in defining evaluation questions and selecting appropriate evaluation methods.
2. 2. Data Collection Methods: This module covers various data collection techniques, such as surveys, interviews, and observations. Learners will learn how to design effective data collection tools and select the most suitable methods for different contexts.
3. 3. Statistical Analysis for Evaluations: Learners will delve into statistical tools and techniques used in evaluating program effectiveness. They will gain practical skills in using statistical software to analyze data and interpret results.
4. 4. Qualitative Research Methods: This module focuses on qualitative research methods, including case studies and participatory approaches. Learners will learn how to design and implement qualitative research to gain deeper insights into program impacts.
5. 5. Program Theory Development: Learners will explore the development of program theories and logic models. They will learn how to articulate the expected relationships between program inputs, activities, outputs, and outcomes.
6. 6. Developing Evaluation Indicators and Metrics: This module covers the process of creating evaluation indicators and metrics. Learners will learn how to select and develop measures that accurately reflect program effectiveness.
7. 7. Advanced Data Analysis Techniques: Learners will gain advanced skills in data analysis, including regression analysis, propensity score matching, and causal inference. They will learn how to apply these techniques to evaluate complex program impacts.
8. 8. Reporting and Communicating Evaluation Findings: This module focuses on effective communication of evaluation results. Learners will learn how to present evaluation findings in clear, concise reports and presentations.
9. 9. Challenges in Program Evaluation: Learners will explore common challenges in program evaluation, such as bias, confounding variables, and sampling issues. They will learn strategies to address these challenges and ensure the validity of their evaluations.
10. 10. Program Improvement and Scaling: This module covers strategies for using evaluation results to improve programs and scale successful interventions. Learners will learn how to translate evaluation findings into actionable recommendations for organizational change.