Index of Courses
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Courses in this category cover the breadth and depth of evaluation fundamentals. This includes core competencies, ethical evaluation, and the building blocks for conducting comprehensive evaluations (i.e., evaluation frameworks, research methods, measurement, and evaluation models and theories).
- Applied Measurement for Evaluation
- Assessing and Developing Your Evaluator Competencies
- Basics of Program Evaluation
- Ethics in Practice: A Global Perspective
- Evaluation Research Methods: A Survey of Quantitative and Qualitative Approaches
- Foundations and Contemporary Issues in Evaluation Practice
- Informing Practice Using Evaluation Models and Theories
- M&E: Frameworks and Fundamentals
- Professional Standards and Principles for Ethical Evaluation Practice
- Working with Evaluation Stakeholders
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Courses in this category bring theory and science to the development of evaluations. Practical takeaways will leave evaluators with the skills to create and use logic models, understand the expanse of methodological approaches available to evaluators, and deploy evaluation designs within unique program contexts.
- Case Studies in Evaluation
- Creating and Implementing Successful Evaluation Surveys
- Design and Administration of Internet, Mail, and Mixed-Mode Surveys
- Designing, Managing, and Analyzing Multi-Site Evaluations
- Outcome and Impact Assessment
- Qualitative Methods
- Quantitative Methods
- Sampling: Basic Methods for Probability and Non-Probability Samples
- Using Non-experimental Designs for Impact Evaluation
- Using Research, Program Theory, & Logic Models to Design and Evaluate Programs
- Using Program Theory and Logic Models in Evaluation
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Courses in this category consider evaluation’s prominent theoretical approaches. Evaluators will learn specific approaches to evaluation and will be able to critically assess the approach needed for an evaluation that underpins methodological choices and respects the evaluation context and participants.
- Comparative Effectiveness: Balancing Design with Quality Evidence
- Developmental Evaluation: Systems and Complexity
- Evaluability Assessment
- Evaluating Resource Allocations in Complex Environments
- Evaluating Training Programs: Frameworks and Fundamentals
- Internal Evaluation: Building Organizations from Within
- Linking Evaluation Questions to Analysis Techniques
- Measuring Performance and Managing for Results in Government and Nonprofit Organizations
- Mixed-Methods Evaluations: Integrating Qualitative and Quantitative Approaches
- Participatory Evaluation: Frameworks, Approaches, Appropriateness and Challenges
- Policy Analysis, Implementation and Evaluation
- Policy Evaluation and Analysis
- Utilization-Focused Evaluation
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Courses in this category recognize that successful evaluations consider context and culture. These courses prepare evaluators for the opportunities and challenges they may face as they work to make evaluation results seen and heard. Management, communication, technology, and stakeholder engagement are also included in this category.
- Culture and Evaluation
- Dashboard Design: Creating Static Dashboards Using Excel
- Effective Reporting Strategies for Evaluators
- Evaluation Capacity-Building in Organizations
- Evaluation Management
- Foundations in Data Visualization
- How to Build a Successful Evaluation Consulting Practice
- Implementation Analysis for Feedback on Program Progress and Results
- Learning through Data Visualization
- Leveraging Technology in Evaluation
- Making Evaluation Data Actionable
- Presenting Data Effectively: Practical Methods for Improving Evaluation Communication
- Strategic Planning with Evaluation in Mind
- Strategy Mapping
- Systems Evaluation
- Using Program Evaluation in Nonprofit Environments
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Courses in this category cultivate the skills needed to analyze multiple forms of evaluation data. These courses offer evaluators a comprehensive background in data cleaning, interpretation, and summarization of findings. Quantitative courses include applied statistics, regression analysis, and using R for quantitative data analysis; qualitative analytic approaches include needs assessment, meta-analysis, and social network analysis.
- Applied Regression Analysis for Evaluators
- Applied Statistics for Evaluators
- Hierarchical Linear Modeling
- Introduction to Cost-Benefit and Cost-Effectiveness Analysis
- Intermediate Cost-Benefit and Cost- Effectiveness Analysis
- Introduction to R Programming for Data Analysis and Visualization
- Needs Assessment
- Practical Meta-Analysis: Summarizing Results across Studies
- Qualitative Data Analysis
- Intermediate Qualitative Data Analysis
- Social and Organizational Network Analysis