Program Evaluation (eBook)

Embedding Evaluation into Program Design and Development

Susan P. Giancola (Autor)

eBook Download: EPUB

2025 | 2., Second Edition
Sage Publications, Inc (Verlag)
9781071918319 (ISBN)

Inhalt

Preface
Acknowledgments
Digital Resources
About The Author
About the Contributors
Section I: Introduction
Chapter 1: Evaluation Matters
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
Chapter 2: History of Evaluation
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
Chapter 3: Evaluation Ethics
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
Chapter 4: Evaluation Ideologies and Approaches
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
Chapter 5: Define, Part 1
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 6: Define, Part 2
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
Chapter 7: Plan, Part 1
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
Chapter 8: Plan, Part 2
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 9: Implement, Part 1
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 10: Implement, Part 2
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
Chapter 11: Interpret
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
Chapter 12: Inform and Refine
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
Chapter 13: Case Study Applications
13.1 LEND Evaluation
13.2 ACCEL Evaluation
13.3 YAP Evaluation
Chapter 14: Logic Model Examples
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

Produkt-Details

• Erscheint lt. Verlag: 22.4.2025
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Themenwelt: Medizin / Pharmazie
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: evaluation capacity building • evaluation textbook • Introduction to Evaluation • logic models • Program evaluation • program theory
• ISBN-13: 9781071918319 / 9781071918319