Index of Courses
- 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
- Basics of Program Evaluation: Culturally Responsive and Strengths-Focused Applications
- Evaluation Research Methods: A Survey of Quantitative and Qualitative Approaches
- Informing Practice Using Evaluation Models
- Monitoring and Evaluation: Frameworks and Fundamentals
- Working with Evaluation Stakeholders
- 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.
- Creating and Implementing Successful Evaluation Surveys
- Evaluation Design: Alignment with Evaluation Objectives
- How to Enhance the Learning Function of Evaluation: Principles and Strategies
- Mixed-Methods Evaluations: Integrating Qualitative and Quantitative Approaches
- Outcome and Impact Evaluation
- Qualitative Methods
- Quantitative Methods
- Sampling
- Using Research, Program Theory, & Logic Models to Design and Evaluate Programs
- 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.
- Blue Marble Evaluation
- Developmental Evaluation
- Evaluability Assessment
- Evaluating Training Programs
- Policy Analysis, Implementation and Evaluation
- Principles-Focused Evaluation
- Utilization-Focused Evaluation
- 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.
- Applying an Equity Lens to Visualizing and Communicating Data
- Culture, Equity, and Evaluation
- Introduction to Chat GPT4 for Evaluation and Evaluation Capacity Building
- Introduction to Data Visualization
- Managing for Success: Planning, Implementation, and Reporting
- Policy Design and Evaluation Across Cultures
- Strategic Planning with Evaluation in Mind
- Systems-Based Culturally Responsive Evaluation (SysCRE)
- Utilizing Culturally Responsive and Racially Equitable Evaluation
- 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.
- Intermediate Cost-Benefit and Cost-Effectiveness Analysis
- Intermediate Qualitative Data Analysis
- Introduction to Cost-Benefit and Cost-Effectiveness Analysis
- Introduction to Data Analysis for Evaluators and Applied Researchers
- Introduction to Machine Learning for Evaluators
- Introduction to R Programming for Data Analysis and Visualization
- Practical Meta-Analysis: Summarizing Results across Studies