This text aims to build evaluation capacity by increasing knowledge about evaluation and improving skills to conduct evaluations. The book’s embedded approach uses program theory to understand relationships between activities and objectives, logic modeling to represent the program’s theory, and an evaluation matrix to structure the evaluation within the program. The approach is systematic and focused on continuous improvement. The
Second Edition adds topics suggested by users of the book, incorporates content that the author has added to her own classes, and covers emerging areas in evaluation since the publication of the first edition such as artificial intelligence and equity in evaluation. A companion website at
http://edge.sagepub.com/Giancola2e includes a number of instructor resources including editable PowerPoint slides and assignments.
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Preface
Acknowledgments
Digital Resources
About The Author
About the Contributors
Section I: Introduction
1.1 What is Evaluation?
1.2 Why Evaluate?
1.3 Values and Standards in Evaluation
1.4 Types of Evaluation
1.5 Internal and External Evaluation
1.6 Embedding Evaluation Into Programs
1.7 Textbook Organization
1.8 Chapter Summary
Key Terms
2.1 The Evolution of Evaluation
2.2 The History of Ethics in Research and Evaluation
2.3 Common Threads and Current Issues in Evaluation
2.4 Chapter Summary
Key Term
3.1 Ethics Defined
3.2 Research Ethics Guidelines and Legislation
3.3 IRB Protocols and Amendments
3.4 Ethical Responsibilities of Organizations
3.5 Ethical Responsibilities of Evaluators
3.6 Additional Considerations
3.7 Chapter Summary
Key Terms
4.1 Inquiry and Ideology
4.2 Evaluation Ideology
4.3 Evaluation Design
4.4 Evaluation Approach
4.5 Embedded Evaluation
4.6 Chapter Summary
Key Terms
Section II: Embedded Evaluation – Planning and Design
5.1 Embedded Evaluation
5.2 Understanding the Program
5.3 Delineating Goals and Strategies
5.4 Explaining the Program Theory
5.5 Determining Contextual Conditions
5.6 Program Theory and Other Theories
5.7 Considering Alternative Theories
5.8 Chapter Summary
Key Terms
Chapter in Context
6.1 What is a Logic Model?
6.2 Creating the Logic Model
6.3 Using the Program’s Logic Model
6.4 More On Logic Models
6.5 Logic Model Cautions
6.6 Chapter Summary
Key Terms
7.1 Creating Evaluation Questions
7.2 Overarching Evaluation Questions
7.3 Embedding Evaluation Questions Into the Logic Model
7.4 Determining What Data to Collect
7.5 Creating the Evaluation Matrix
7.6 Chapter Summary
Key Terms
8.1 Attribution
8.2 Evaluation Design
8.3 Evaluation Methods and Tools
8.4 Evaluation Matrix: Identifying Data Sources
8.5 Chapter Summary
Key Terms
Section III: Embedded Evaluation – Implementation and Use
Chapter in Context
9.1 Informed Consent
9.2 Collecting The Data
9.3 Organizing Quantitative Data
9.4 Organizing Qualitative Data
9.5 Special Considerations for Mixed Methods
9.6 Chapter Summary
Key Terms
Chapter in Context
10.1 Quantitative Data Analysis: Descriptive Statistics
10.2 Quantitative Data Analysis: Inferential Statistics
10.3 Quantitative Data Analysis: Advanced Statistical Methods
10.4 Qualitative Data Analysis
10.5 Mixed Method Integrative Analysis
10.6 Managing the Unexpected and Unintended
10.7 Chapter Summary
Key Terms
11.1 The Home Stretch
11.2 Examining Results
11.3 Interpreting Results
11.4 Communicating Evaluation Results
11.5 Enhancing Reporting and Communication
11.6 Chapter Summary
Key Terms
12.1 Purpose of Evaluation
12.2 Pre-Evaluation: Efforts to Promote Utilization
12.3 During Evaluation: Ongoing Utilization Efforts
12.4 Post-Evaluation and Data Dissemination
12.5 Some Final Thoughts
12.6 Chapter Summary
Key Terms
Section IV: Resources
13.1 LEND Evaluation
13.2 ACCEL Evaluation
13.3 YAP Evaluation
14.1 Birth-3 Early Intervention Screening Program
14.2 Gender Equity in STEM Academic Professions Program
14.3 Graduate Pipeline to Diversify the STEM Workforce Program
14.4 K–3 Cybersecurity Awareness Program
14.5 Higher Education Cybersecurity Program
14.6 Mental Health Services Program
Appendices Special Topics
Appendix A: An Integrated MERLA (Monitoring, Evaluation, Research, Learning, and Adapting) Framework for Evidence-Based Program Improvement
Appendix B: Community Needs Assessment Among Latino Families in an Urban Public Housing Development
Appendix C: Leveraging Artificial Intelligence to Advance Implementation Science: Potential Opportunities and Cautions
Appendix D: How Mixed-Methods Research Can Improve the Policy Relevance of Impact Evaluations
Appendix E: Learning, Unlearning, and Sprinkling In: Our Journey with Equitable Evaluation
References
Instructor Resources
Instructors, you can now access and download textbook resources directly from this page. Simply log in to your Sage account and select the resources you need from the options below.
LMS-Compatible Test Bank Files allow you to take the test banks for your Sage title and load them into your learning management system (LMS). This allows you to create your own online assessments that pull from the questions in the test bank.
To use your LMS-Compatible Test Bank, download the zip folder from the link and upload it into your system. This file is compatible with Blackboard, Canvas, Moodle, and D2L (Brightspace) LMSs.
Chapter-specific slide presentations highlight essential content from the book. The PowerPoint® slides for this book have been remediated for accessibility to accommodate those using assistive technology, such as screen readers.
KEY FEATURES:
- A practical approach to evaluation shows how evaluation can be embedded in any program.
- A step-by-step guide to building evaluation into a program's theory leads readers through the design of an evaluation from start to finish.
- A thorough accounting of the history of evaluation provides historical context of evaluation as a field.
- An overview of evaluation approaches introduces many different approaches to evaluation with resources on where to go for more information.
- A focus on the importance of evaluation for continuous program improvement shapes the purpose of evaluation as an integral component of a program.
NEW TO THE SECOND EDITION:
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Section I adds additional contributors to the field of evaluation, updates the history of evaluation to current day, includes additional evaluation approaches, and updates the evaluation ideology framework.
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Section II includes new information on developing a statement describing the purpose of a program, new federal guidelines, and more on systems thinking, different logic models, writing overarching evaluation questions, using mixed methods in evaluation, and threats to internal and external validity.
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Section III includes more on survey research methods, mixed-methods frameworks, advanced statistical methods, implementation science, and communication and dissemination planning using a stakeholder matrix.
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Section IV includes an update on the case studies and additional examples of logic models.
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The Appendices have been updated to include articles on monitoring, evaluation, research, learning, and adapting; artificial intelligence and implementation science; mixed-methods research; and equitable evaluation.