Research Design in the Social Sciences : : Declaration, Diagnosis, and Redesign / / Macartan Humphreys, Graeme Blair, Alexander Coppock.

• Superior document: Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English
• VerfasserIn: Blair, Graeme,; Coppock, Alexander,; Humphreys, Macartan,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource (392 p.) :; 92 color illus. 55 tables.
• Other title: Frontmatter --; Contents --; Acknowledgements --; I Introduction --; 1 Preamble --; 2 What Is a Research Design? --; 3 Research Design Principles --; 4 Getting Started --; II Declaration, Diagnosis, Redesign --; 5 Declaring Designs --; 6 Specifying the Model --; 7 Defining the Inquiry --; 8 Crafting a Data Strategy --; 9 Choosing an Answer Strategy --; 10 Diagnosing Designs --; 11 Redesigning --; 12 Design Example --; 13 Designing in Code --; III Research Design Library --; 14 Research Design Library --; 15 Observational : Descriptive --; 16 Observational : Causal --; 17 Experimental : Descriptive --; 18 Experimental : Causal --; 19 Complex Designs --; IV Research Design Lifecycle --; 20 Research Design Lifecycle --; 21 Planning --; 22 Realization --; 23 Integration --; V Epilogue --; 24 Epilogue --; VI References --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691199580; 9783111319292; 9783111318912; 9783111319261; 9783111318806; 9783110749748
• DOI: 10.1515/9780691199580?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Macartan Humphreys, Graeme Blair, Alexander Coppock.

A state-of-the-art approach to evaluating research design for students and scholars across the social sciencesAssessing 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 Strategy, and Answer Strategy, or MIDA—for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental designs, qualitative and quantitative designs, and descriptive and causal designs. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature.A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement themIncludes a library of the most common designs in the social sciencesProvides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer’s controlAccompanied by online resources that can be used in conjunction with the bookAn ideal textbook for graduate students and advanced undergraduates