The Certificate in Evaluation Practice (CEP) offers participants a breadth of understanding of the knowledge and skills that are frequently needed for evaluations.
The CEP is intended for evaluators who are seeking a course of study that exposes them to the fundamentals of evaluation practice.
This certificate is designed:
- for evaluation professionals who do not have substantive formal training in evaluation
- for those who wish to brush up on recent developments
- for those who are seeking a systematic understanding of evaluation practice
- for individuals who are approaching evaluation practice as a new endeavor
This Certificate also serves as the first prerequisite for the Master Evaluator Certificate.
CEP Requirements: The CEP is awarded after the completion of 30 days of instruction from a prescribed set of courses. 15 days are to be selected from a group of core courses, and the remaining 15 days are selected from among two groups of elective courses (Design & Analysis and Evaluation Practice & Inquiry).
Core Courses
Evaluation Foundations
15 days of instruction in Evaluation Foundations courses:
- Applied Measurement for Evaluation (3 days)
- Basics of Program Evaluation: Strengths-Informed and Cross-Cultural Applications (3 days)
- Developing Ethical Leadership in Evaluation During an Era of Change (3 days)
- Ethics in Practice: A Global Perspective (International perspective) (1 day)
- Evaluation Foundations (1 day)
- Evaluation Research Methods: A Survey of Quantitative & Qualitative Approaches (3 days)
- Evaluating Training Programs and MEL (Monitoring, Evaluation, Learning) Initiatives (3 days) OR Evaluating Training Programs (2 days)
- Informing Practice Using Evaluation Models and Theories (3 days)
- Managing for Success: Planning, Implementation, and Reporting (2 days)
- Monitoring and Evaluation: Frameworks and Fundamentals (2 days)
- Professional Standards and Principles for Ethical Evaluation Practice (1 day)
- Public Health Program Evaluation (3 days)
- Using Evaluation Approaches, Theories, and Research on Evaluation (ROE) to Improve Your Evaluation Practice: With Help from Generative AI OR Comparative Evaluation Theory & Practice (2 days)
- Working with Evaluation Stakeholders OR Working with Diverse Stakeholders: Appreciative, Strengths-based, and Culturally Responsive Approaches (2 days)
Electives
Design & Analysis
9 days of instruction selected from the following topic areas:
Design
- Blue Marble Evaluation (2 days)
- Case Studies in Evaluation (2 days)
- Creating and Implementing Successful Evaluation Surveys (3 days)
- Developmental Evaluation: Systems and Complexity (2 days)
- Evaluation Design: Alignment with Evaluation Objectives (2 days)
- Longitudinal Methods: Building and Maintaining Participant Commitment Across Time (2 days)
- Policy Design and Evaluation Across Cultures (2 days)
- Principles-Focused Evaluation (2 days)
- Sampling: Basic Methods for Probability and Non-Probability Samples (1 day)
- Systems-based Culturally Responsive Evaluation (3 days)
- Using Non-Experimental Designs for Impact Evaluation (2 days)
- Using Logic Models, Program Theory, and Research to Design and Evaluate Programs (2 days) ORÂ Using Logic Models, Program Theory, Research and ChatGPT to Design and Evaluate Programs (2 days) OR Using Program Theory and Logic Models in Evaluation (2 days)
- Utilization-Focused Evaluation (1 day)
Analysis
- AI-Powered Program Evaluation: From Administrative Data to Automated Insights (3 days)
- Analyzing and Reporting Data with AI: A Practical Introduction (2 days)
- Applied Regression Analysis (3 days)
- Applied Statistics for Evaluation (4-5 days)
- Comparative Effectiveness: Balancing Design with Quality Evidence (1 day)
- Introduction to Cost-Benefit and Cost-Effectiveness Analysis (2 days or 3 days)
- Introduction to Data Analysis for Evaluators and Applied Researchers (2 days)
- Introduction to Machine Learning for Evaluators (2 days)
- Introduction to R Programming or Data Analysis and Visualization
- Implementation Analysis for Feedback on Program Progress and Results (2 days)
- Linking Evaluation Questions to Analysis Techniques (3 days)
- Making Evaluation Data Actionable (2 days)
- Mixed-Method Evaluations: Integrating Qualitative and Quantitative Approaches (2 days or 3 days)
- Needs Assessment (2 days)
- Outcome and Impact Evaluation (3 days)
- Practical Meta-Analysis (2 days)
- Quantitative Methods (2 days)
- Qualitative Methods (2 days)
- Qualitative Data Analysis (2 days)
- Intermediate Qualitative Data Analysis (2 days)
- Social and Organizational Network Analysis (2 days)
Evaluation Practice & Inquiry
6 days of instruction selected from the following topic areas:
- Applying an Equity Lens to Visualizing and Communicating Data (1 day)
- Applying Appreciative Inquiry & Positive Psychology to Improve Your Evaluation Practice (2 days)
- Artificial Intelligence in Evaluation: Bridging Technology and Practice (3 days)
- Culture, Equity, and Evaluation (2 days)
- Dashboard Design: Creating Static Dashboards Using Excel (1 day)
- Designing, Managing & Analyzing Multi-site Evaluations (2 days)
- Effective Reporting Strategies for Evaluators (1 day)
- Evaluability Assessment (2 days)
- Evaluation Capacity Building in Organizations (1 day)
- Evaluation Management
- Evaluating Resource Allocation in Complex Environments
- Foundations in Data Visualization (1 day)
- How to Build a Successful Evaluation Consulting Practice (1 day)
- How to Enhance the Learning Function of Evaluation: Principles and Strategies (2 days)
- Internal Evaluation: Building Organizations from Within
- Introduction to Chat GPT4 for Evaluation and Evaluation Capacity Building (2 days)
- Introduction to Data Visualization (2 days or 3 days)
- Introduction to Generative AI for Evaluation and Evaluation Capacity Building (2 days)
- Introduction to Visualizing Data with a Racial Equity Lens (2 days)
- Learning through Data Visualization
- Leveraging Technology in Evaluation (1 day)
- Measuring Performance and Managing for Results in Government and Nonprofit Organizations (2 days)
- Next-Generation Leadership for Evaluators: Using AI Tools for Evaluator Leader Development (2 days)
- Participatory Evaluation: Frameworks, Approaches, Appropriateness and Challenges (2 days)
- Policy Analysis, Implementation and Evaluation (2 days)
- Policy Evaluation and Analysis (2 days)
- Practical Strategies for Improving Collaborative Approaches to Evaluation (2 days)
- Presenting Data Effectively (2 days)
- Strategy Mapping (2 days)
- Strategic Planning with Evaluation in Mind (2 or 3 days)
- Utilizing Culturally Responsive and Racially Equitable Evaluation (3 days)
- Using Program Evaluation in Nonprofit Environments (1 day)