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Development Research in Practice: The DIME Analytics Data Handbook [Pehme köide]

  • Formaat: Paperback / softback, 208 pages, kõrgus x laius x paksus: 251x177x15 mm, kaal: 333 g
  • Ilmumisaeg: 31-Jul-2021
  • Kirjastus: World Bank Publications
  • ISBN-10: 1464816948
  • ISBN-13: 9781464816949
Teised raamatud teemal:
  • Formaat: Paperback / softback, 208 pages, kõrgus x laius x paksus: 251x177x15 mm, kaal: 333 g
  • Ilmumisaeg: 31-Jul-2021
  • Kirjastus: World Bank Publications
  • ISBN-10: 1464816948
  • ISBN-13: 9781464816949
Teised raamatud teemal:
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well asillustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically.“In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.”—Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University“Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.”—Ruth E. Levine, PhD, CEO, IDinsight“Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.”—Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley“The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.”—Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

The Development Research in Practice handbook is the quintessential desk reference for empirical researchers, policymakers, managers, and students. It provides an introduction to modern, transparent, and ethical research practices involving development data.

Foreword xi
Acknowledgments xiii
About the Authors xv
Abbreviations xvii
Introduction 1(10)
How to read this book
1(4)
The DIME Wiki: A complementary resource
5(1)
Standardizing data work
5(1)
Standardizing coding practices
6(1)
The team behind this book
7(1)
Looking ahead
8(1)
References
9(2)
Chapter 1 Conducting Reproducible, Transparent, And Credible Research
11(16)
Developing a credible research project
13(5)
Conducting research transparently
18(3)
Analyzing data reproducibly and preparing a reproducibility package
21(3)
Looking ahead
24(1)
References
24(3)
Chapter 2 Setting The Stage For Effective And Efficient Collaboration
27(26)
Preparing a collaborative work environment
29(5)
Organizing code and data for replicable research
34(11)
Preparing to handle confidential data ethically
45(6)
Looking ahead
51(1)
References
52(1)
Chapter 3 Establishing A Measurement Framework
53(24)
Documenting data needs
55(6)
Translating research design to data needs
61(4)
Creating research design variables by randomization
65(9)
Looking ahead
74(1)
References
74(3)
Chapter 4 Acquiring Development Data
77(24)
Acquiring data ethically and reproducibly
79(5)
Collecting high-quality data using electronic surveys
84(10)
Handling data securely
94(5)
Looking ahead
99(1)
References
99(2)
Chapter 5 Cleaning And Processing Research Data
101(24)
Making data "tidy"
103(6)
Implementing data quality checks
109(3)
Processing confidential data
112(4)
Preparing data for analysis
116(7)
Looking ahead
123(1)
References
123(2)
Chapter 6 Constructing And Analyzing Research Data
125(26)
Creating analysis data sets
127(9)
Writing analysis code
136(5)
Creating reproducible tables and graphs
141(4)
Increasing efficiency of analysis with dynamic documents
145(2)
Looking ahead
147(2)
References
149(2)
Chapter 7 Publishing Reproducible Research Outputs
151(18)
Publishing research papers and reports
153(4)
Preparing research data for publication
157(4)
Publishing a reproducible research package
161(5)
Looking ahead
166(2)
References
168(1)
Chapter 8 Conclusion
169(6)
Bringing it all together
169(3)
Where to go from here
172(3)
Appendix A The DIME Analytics Coding Guide 175(16)
Appendix B DIME Analytics resource directory 191(4)
Appendix C Research design for impact evaluation 195