Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign
β Scribed by Graeme Blair; Alexander Coppock; Macartan Humphreys
- Publisher
- Princeton University Press
- Year
- 2023
- Tongue
- English
- Leaves
- 392
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 frameworkβModel, Inquiry, Data Strategy, and Answer Strategy, or MIDAβfor 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 them
- Includes a library of the most common designs in the social sciences
- Provides 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 designerβs control
- Accompanied by online resources that can be used in conjunction with the book
- An ideal textbook for graduate students and advanced undergraduates
β¦ Table of Contents
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
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