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

Designing, Managing & Analyzing Multi-site Evaluations (2 days)

Evaluability Assessment (2 days)

Evaluating Resource Allocation in Complex Environments

Evaluating Training Programs: Frameworks and Fundamentals (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

Conducting Successful Evaluation Surveys (2 days)

Culturally Responsive Systems Evaluation (2 days)

Developmental Evaluation: Systems and Complexity (2 days)

Needs Assessment (2 days)

Participatory Evaluation: Frameworks, Approaches, Appropriateness and Challenges (2 days)

Sampling: Basic Methods for Probability and Probability Samples (1 day)

Systems Evaluation

Using Non-experimental Designs for Impact Evaluation (2 days)

Using Research, Program Theory, & Logic Models to Design and Evaluate Programs (2 days)

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 (2-3 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 (1 day)

Introduction to Data Analysis for Evaluators and Applied Researchers (2 days)

Introduction to R Programming for Data Analysis and Visualization

Linking Evaluation Questions to Analysis Techniques (3 days)

Mixed-Methods Evaluations: Integrating Qualitative and Quantitative Approaches (2 days)

Practical Meta-Analysis (2 days)

Quantitative Evaluation Methods (2 days)

Area IIIb:  Qualitative Analysis

Case Studies in Evaluation (2 days)

Hierarchical Linear Modeling (1 day)

Intermediate Qualitative Analysis (2 days)

Qualitative Data Analysis (2 days)

Qualitative Evaluation Methods (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)

(Formerly: Performance Measurement)

Outcome and Impact Assessment (3 days)

Policy Analysis, Implementation and Evaluation (2 days)

Resource Evaluation and Systems Change (2 days)

Area V:  Evaluation Practice

Culture and Evaluation (1 day)

Dashboard Design: Creating Static Dashboards Using Excel

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)

Learning Through Data Visualization

Leveraging Technology in Evaluation (1 day)

Managing for Success: Planning, Implementation, and Reporting (2 days)

Presenting Data Effectively (2 days)

Strategic Planning with Evaluation in Mind (2 days)

Using Program Evaluation in Nonprofit Environments (1 day)