Research Design in the Social Sciences Declaration, Diagnosis, and Redesign

A state-of-the-art approach to evaluating research design for students and scholars across the social sciences Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework—Model, Inquiry, Data Stra...

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Bibliographic Details
Main Authors Blair, Graeme, Coppock, Alexander, Humphreys, Macartan
Format eBook Book
LanguageEnglish
Published Princeton Princeton University Press 2023
Edition1
Subjects
Online AccessGet full text
ISBN0691199582
9780691199580
9780691199573
0691199574
0691199566
9780691199566
DOI10.1515/9780691199580

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Table of Contents:
  • 19. Complex Designs Index 24. Epilogue V. Epilogue 23. Integration 22. Realization 21. Planning 20. Research Design Lifecycle IV. Research Design Lifecycle 18. Experimental : Causal 17. Experimental : Descriptive 16. Observational: Causal 12. Design Example 13. Designing in Code III. Research Design Library 14. Research Design Library 15. Observational : Descriptive 11. Redesigning 9. Choosing an Answer Strategy 10. Diagnosing Designs 3. Research Design Principles 2. What Is a Research Design? 1. Preamble Acknowledgements Cover Contents II. Declaration, Diagnosis, Redesign 4. Getting Started 6. Specifying the Model 8. Crafting a Data Strategy 7. Defining the Inquiry 5. Declaring Designs I. Introduction Bibliography VI. References Half Title Page, Title Page, Copyright
  • Cover -- Contents -- Acknowledgements -- I. Introduction -- 1. Preamble -- 1.1 How to Read This Book -- 1.2 How to Work This Book -- 1.3 What This Book Will Not Do -- 2. What Is a Research Design? -- 2.1 MIDA: The Four Elements of a Research Design -- 2.2 Declaration, Diagnosis, Redesign -- 2.3 Example: A Decision Problem -- 2.4 Putting Designs to Use -- 3. Research Design Principles -- 4. Getting Started -- 4.1 Installing R -- 4.2 Declaration -- 4.3 Diagnosis -- 4.4 Redesign -- 4.5 Library of Designs -- 4.6 Long-Term Code Usability -- II. Declaration, Diagnosis, Redesign -- 5. Declaring Designs -- 5.1 Definition of Research Designs -- 5.2 Declaration in Code -- 6. Specifying the Model -- 6.1 Elements of Models -- 6.2 Types of Variables in Models -- 6.3 How to Specify Models -- 6.4 Summary -- 7. Defining the Inquiry -- 7.1 Elements of Inquiries -- 7.2 Types of Inquiries -- 7.3 How to Define Inquiries -- 7.4 Summary -- 8. Crafting a Data Strategy -- 8.1 Elements of Data Strategies -- 8.2 Challenges to Data Strategies -- 8.3 Summary -- 9. Choosing an Answer Strategy -- 9.1 Elements of Answer Strategies -- 9.2 Types of Answer Strategies -- 9.3 How to Choose an Answer Strategy -- 9.4 Summary -- 10. Diagnosing Designs -- 10.1 Elements of Diagnoses -- 10.2 Types of Diagnosands -- 10.3 Estimation of Diagnosands -- 10.4 How to Diagnose Designs -- 10.5 Summary -- 11. Redesigning -- 11.1 Redesigning over Data Strategies -- 11.2 Redesigning over Answer Strategies -- 11.3 Summary -- 12. Design Example -- 12.1 Declaration in Words -- 12.2 Declaration in Code -- 12.3 Diagnosis -- 12.4 Redesign -- 13. Designing in Code -- 13.1 Model -- 13.2 Inquiry -- 13.3 Data Strategy -- 13.4 Answer Strategy -- 13.5 Declaration -- 13.6 Diagnosis -- 13.7 Redesign -- III. Research Design Library -- 14. Research Design Library -- 15. Observational : Descriptive
  • 15.1 Simple Random Sampling -- 15.2 Cluster Random Sampling -- 15.3 Multilevel Regression and Poststratification -- 15.4 Index Creation -- 16. Observational: Causal -- 16.1 Process Tracing -- 16.2 Selection-on-Observables -- 16.3 Difference-in-Differences -- 16.4 Instrumental Variables -- 16.5 Regression Discontinuity Designs -- 17. Experimental : Descriptive -- 17.1 Audit Experiments -- 17.2 List Experiments -- 17.3 Conjoint Experiments -- 17.4 Behavioral Games -- 18. Experimental : Causal -- 18.1 Two-Arm Randomized Experiments -- 18.2 Block-Randomized Experiments -- 18.3 Cluster-Randomized Experiments -- 18.4 Subgroup Designs -- 18.5 Factorial Experiments -- 18.6 Encouragement Designs -- 18.7 Placebo-Controlled Experiments -- 18.8 Stepped-Wedge Experiments -- 18.9 Randomized Saturation Experiments -- 18.10 Experiments over Networks -- 19. Complex Designs -- 19.1 Discovery Using Causal Forests -- 19.2 Structural Estimation -- 19.3 Meta-analysis -- 19.4 Multi-site Studies -- IV. Research Design Lifecycle -- 20. Research Design Lifecycle -- 21. Planning -- 21.1 Ethics -- 21.2 Partners -- 21.3 Funding -- 21.4 Piloting -- 21.5 Criticism -- 21.6 Preanalysis Plan -- 22. Realization -- 22.1 Pivoting -- 22.2 Populated Preanalysis Plan -- 22.3 Reconciliation -- 22.4 Writing -- 23. Integration -- 23.1 Communicating -- 23.2 Archiving -- 23.3 Reanalysis -- 23.4 Replication -- 23.5 Meta-analysis -- V. Epilogue -- 24. Epilogue -- VI. References -- Bibliography -- Index
  • III Research Design Library --
  • 22 Realization --
  • Contents --
  • 9 Choosing an Answer Strategy --
  • VI References --
  • IV Research Design Lifecycle --
  • Index
  • 5 Declaring Designs --
  • 13 Designing in Code --
  • Acknowledgements --
  • 19 Complex Designs --
  • 20 Research Design Lifecycle --
  • 21 Planning --
  • 11 Redesigning --
  • 17 Experimental : Descriptive --
  • Bibliography --
  • 23 Integration --
  • II Declaration, Diagnosis, Redesign --
  • 24 Epilogue --
  • 7 Defining the Inquiry --
  • V Epilogue --
  • 14 Research Design Library --
  • I Introduction --
  • 1 Preamble --
  • 2 What Is a Research Design? --
  • 8 Crafting a Data Strategy --
  • 15 Observational : Descriptive --
  • 16 Observational : Causal --
  • 3 Research Design Principles --
  • 6 Specifying the Model --
  • 12 Design Example --
  • Frontmatter --
  • 10 Diagnosing Designs --
  • 18 Experimental : Causal --
  • 4 Getting Started --