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001428472 020__ $$a9781464816956
001428472 020__ $$z9781464816949
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001428472 050_4 $$aHD77
001428472 0820_ $$a338.90072
001428472 1001_ $$aBjärkefur, Kristoffer.
001428472 24510 $$aDevelopment Research in Practice :$$bThe DIME Analytics Data Handbook.
001428472 250__ $$a1st ed.
001428472 264_1 $$aWashington, D. C. :$$bWorld Bank Publications,$$c2021.
001428472 264_4 $$c©2021.
001428472 300__ $$a1 online resource (231 pages).
001428472 336__ $$atext$$btxt$$2rdacontent
001428472 337__ $$acomputer$$bc$$2rdamedia
001428472 338__ $$aonline resource$$bcr$$2rdacarrier
001428472 5050_ $$aFront Cover -- Contents -- Foreword -- Acknowledgments -- About the Authors -- Abbreviations -- Introduction -- How to read this book -- The DIME Wiki: A complementary resource -- Standardizing data work -- Standardizing coding practices -- The team behind this book -- Looking ahead -- References -- Chapter 1 Conducting reproducible, transparent, and credible research -- Developing a credible research project -- Conducting research transparently -- Analyzing data reproducibly and preparing a reproducibility package -- Looking ahead -- References -- Chapter 2 Setting the stage for effective and efficient collaboration -- Preparing a collaborative work environment -- Organizing code and data for replicable research -- Preparing to handle confidential data ethically -- Looking ahead -- References -- Chapter 3 Establishing a measurement framework -- Documenting data needs -- Translating research design to data needs -- Creating research design variables by randomization -- Looking ahead -- References -- Chapter 4 Acquiring development data -- Acquiring data ethically and reproducibly -- Collecting high-quality data using electronic surveys -- Handling data securely -- Looking ahead -- References -- Chapter 5 Cleaning and processing research data -- Making data "tidy" -- Implementing data quality checks -- Processing confidential data -- Preparing data for analysis -- Looking ahead -- References -- Chapter 6 Constructing and analyzing research data -- Creating analysis data sets -- Writing analysis code -- Creating reproducible tables and graphs -- Increasing efficiency of analysis with dynamic documents -- Looking ahead -- References -- Chapter 7 Publishing reproducible research outputs -- Publishing research papers and reports -- Preparing research data for publication -- Publishing a reproducible research package -- Looking ahead -- References.
001428472 5058_ $$aChapter 8 Conclusion -- Bringing it all together -- Where to go from here -- Appendix A: The DIME Analytics Coding Guide -- Appendix B: DIME Analytics resource directory -- Appendix C: Research design for impact evaluation -- Boxes -- Box I.1 The Demand for Safe Spaces case study -- Box 1.1 Summary: Conducting reproducible, transparent, and credible research -- Box 1.2 Registering studies: A case study from the Demand for Safe Spaces project -- Box 1.3 Writing preanalysis plans: A case study from the Demand for Safe Spaces project -- Box 1.4 Preparing a reproducibility package: A case study from the Demand for Safe Spaces project -- Box 2.1 Summary: Setting the stage for effective and efficient collaboration -- Box 2.2 Preparing a collaborative work environment: A case study from the Demand for Safe Spaces project -- Box 2.3 Organizing files and folders: A case study from the Demand for Safe Spaces project -- Box 2.4 DIME master do-file template -- Box 2.5 Writing code that others can read: A case study from the Demand for Safe Spaces project -- Box 2.6 Writing code that others can run: A case study from the Demand for Safe Spaces project -- Box 2.7 Seeking ethical approval: An example from the Demand for Safe Spaces project -- Box 2.8 Obtaining informed consent: A case study from the Demand for Safe Spaces project -- Box 2.9 Ensuring the privacy of research subjects: An example from the Demand for Safe Spaces project -- Box 3.1 Summary: Establishing a measurement framework -- Box 3.2 Developing a data linkage table: An example from the Demand for Safe Spaces project -- Box 3.3 Creating data flowcharts: An example from the Demand for Safe Spaces project -- Box 3.4 An example of uniform-probability random sampling -- Box 3.5 An example of randomized assignment with multiple treatment arms -- Box 3.6 An example of reproducible randomization.
001428472 5058_ $$aBox 4.1 Summary: Acquiring development data -- Box 4.2 Determining data ownership: A case study from the Demand for Safe Spaces project -- Box 4.3 Piloting survey instruments: A case study from the Demand for Safe Spaces project -- Box 4.4 Checking data quality in real time: A case study from the Demand for Safe Spaces project -- Box 5.1 Summary: Cleaning and processing research data -- Box 5.2 Establishing a unique identifier: A case study from the Demand for Safe Spaces project -- Box 5.3 Tidying data: A case study from the Demand for Safe Spaces project -- Box 5.4 Assuring data quality: A case study from the Demand for Safe Spaces project -- Box 5.5 Implementing de-identification: A case study from the Demand for Safe Spaces project -- Box 5.6 Correcting data points: A case study from the Demand for Safe Spaces project -- Box 5.7 Recoding and annotating data: A case study from the Demand for Safe Spaces project -- Box 6.1 Summary: Constructing and analyzing research data -- Box 6.2 Integrating multiple data sources: A case study from the Demand for Safe Spaces project -- Box 6.3 Creating analysis variables: A case study from the Demand for Safe Spaces project -- Box 6.4 Documenting variable construction: A case study from the Demand for Safe Spaces project -- Box 6.5 Writing analysis code: A case study from the Demand for Safe Spaces project -- Box 6.6 Organizing analysis code: A case study from the Demand for Safe Spaces project -- Box 6.7 Visualizing data: A case study from the Demand for Safe Spaces project -- Box 6.8 Managing outputs: A case study from the Demand for Safe Spaces project -- Box 7.1 Summary: Publishing reproducible research outputs -- Box 7.2 Publishing research papers and reports: A case study from the Demand for Safe Spaces project -- Box 7.3 Publishing research data sets: A case study from the Demand for Safe Spaces project.
001428472 5058_ $$aBox 7.4 Releasing a reproducibility package: A case study from the Demand for Safe Spaces project -- Figures -- Figure I.1 Overview of the tasks involved in development research data work -- Figure B2.3.1 Folder structure of the Demand for Safe Spaces data work -- Figure B3.3.1 Flowchart of a project data map -- Figure B4.4.1 A sample dashboard of indicators of progress -- Figure 4.1 Data acquisition tasks and outputs -- Figure 5.1 Data-cleaning tasks and outputs -- Figure 6.1 Data analysis tasks and outputs -- Figure 7.1 Publication tasks and outputs -- Figure 8.1 Research data work outputs.
001428472 506__ $$aAccess limited to authorized users.
001428472 588__ $$aDescription based on publisher supplied metadata and other sources.
001428472 650_0 $$aData curation.
001428472 650_0 $$aBusiness--Data processing--Management.
001428472 650_0 $$aEconomic development--Research--Methodology.
001428472 655_0 $$aElectronic books
001428472 7001_ $$aCardoso de Andrade, Luíza.
001428472 7001_ $$aDaniels, Benjamin.
001428472 7001_ $$aJones, Maria Ruth.
001428472 77608 $$iPrint version:$$aBjärkefur, Kristoffer$$tDevelopment Research in Practice$$dWashington, D. C. : World Bank Publications,c2021$$z9781464816949
001428472 852__ $$bebk
001428472 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=6724973$$zOnline Access
001428472 909CO $$ooai:library.usi.edu:1428472$$pGLOBAL_SET
001428472 980__ $$aBIB
001428472 980__ $$aEBOOK
001428472 982__ $$aEbook
001428472 983__ $$aOnline