The Certificate in Advanced Evaluation Practices (CAEP) allows experienced evaluators to deepen their evaluation understanding, and to improve their ability to produce high-quality evaluations.

Completion of the first-level Certificate in Evaluation Practice (CEP) is a prerequisite for beginning the CAEP. The CAEP instruction is designed to increase participants’ depth of understanding of various evaluation approaches and theories. These approaches can help participants design and implement tailored evaluations that are more responsive to each context and its stakeholders.

This certificate also completes the course requirements for the Master Evaluator Certificate.

CAEP Requirements: Completion of CEP, plus 30 days of coursework from at least four of the following areas listed below. Courses completed as part of the CEP requirements do not count towards the 30 days of instruction beyond the CEP required for the completion of the CAEP.

Topic Areas

Area I:  Evaluative Inquiry

  • How to Enhance the Learning Function of Evaluation: Principles and Strategies (2 days)
  • Designing, Managing & Analyzing Multi-site Evaluations (2 days)
  • Evaluability Assessment (2 days)
  • Evaluating Resource Allocation in Complex Environments (2 days)
  • Evaluating Training Programs and MEL (Monitoring, Evaluation, Learning) Initiatives (3 days) OR Evaluating Training Programs (2 days)
  • Evaluation Capacity Building in Organizations (1 day)
  • Implementation Analysis/Process Evaluation (2 days)
  • Internal Evaluation: Building Organizations from Within (2 days)
  • Policy Evaluation and Analysis (2 days)
  • Strategy Mapping (2 days)

Area II:  Design

  • Blue Marble Evaluation (2 days)
  • Creating and Implementing Successful Evaluation Surveys (3 days)
  • Evaluation Design: Alignment with Evaluation Objectives (2 days)
  • Systems-based Culturally Responsive Evaluation (3 days)
  • Developmental Evaluation: Systems and Complexity (2 days)
  • Longitudinal Methods: Building and Maintaining Participant Commitment Across Time (2 days)
  • Needs Assessment (2 days)
  • Participatory Evaluation: Frameworks, Approaches, Appropriateness and Challenges (2 days)
  • Policy Design and Evaluation Across Cultures (2 days)
  • Principles-Focused Evaluation (2 days)
  • Sampling: Basic Methods for Probability and Probability Samples (1 day)
  • Using Non-experimental Designs for Impact Evaluation (2 days)
  • Using Research, Program Theory, & Logic Models to Design and Evaluate Programs (2 days) OR Using Program Theory and Logic Models in Evaluation (2 days)
  • Utilization-Focused Evaluation (1 day)

Area III:  Analytic Approaches

Area IIIa:  Quantitative Analysis

  • Applied Measurement for Evaluation (3 days)
  • Applied Regression Analysis for Evaluators (3 days)
  • Applied Statistics for Evaluators (4-5 days)
  • Comparative Effectiveness: Balancing Design with Quality Evidence (1 day)
  • Intermediate 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 for Data Analysis and Visualization (2 days)
  • Linking Evaluation Questions to Analysis Techniques (3 days)
  • Mixed-Methods Evaluations: Integrating Qualitative and Quantitative Approaches (2 days or 3 days)
  • Practical Meta-Analysis (2 days)
  • Quantitative Methods (2 days)

Area IIIb:  Qualitative Analysis

  • Case Studies in Evaluation (2 days)
  • Hierarchical Linear Modeling (1 day)
  • Qualitative Methods (2 days)
  • Qualitative Data Analysis (2 days)
  • Intermediate Qualitative Analysis (2 days)
  • Social and Organizational Network Analysis (2 days)

Area IV:  Outcome and Performance Assessments

  • Making Evaluation Data Actionable (2 days)
  • Measuring Performance and Managing Results in Government and Nonprofit Organizations (2 days)
  • Outcome and Impact Evaluation (3 days)
  • Policy Analysis, Implementation and Evaluation (2 days)
  • Resource Evaluation and Systems Change (2 days)

Area V:  Evaluation Practice

  • 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 for Equity and Justice in Evaluation: Bridging Technology and Practice (3 days)
  • Culture, Equity, and Evaluation (2 days)
  • Dashboard Design: Creating Static Dashboards Using Excel (1 day)
  • Effective Reporting Strategies for Evaluators (1 day)
  • Evaluation Management
  • Foundations in Data Visualization (1 day)
  • How to Build a Successful Evaluation Consulting Practice (1 day)
  • Introduction to Chat GPT4 for Evaluation and Evaluation Capacity Building (2 days)
  • Introduction to Data Visualization (2 days or 3 days)
  • Introduction to Visualizing Data with a Racial Equity Lens (2 days)
  • Learning Through Data Visualization
  • Leveraging Technology in Evaluation (1 day)
  • Managing for Success: Planning, Implementation, and Reporting (2 days)
  • Practical Strategies for Improving Collaborative Approaches to Evaluation (2 days)
  • Presenting Data Effectively (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)
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