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The Workflow of Data Analysis Using Stata

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  • J. Scott Long

Abstract

The Workflow of Data Analysis Using Stata, by J. Scott Long, is a productivity tool for data analysts. Long guides you toward streamlining your workflow, because a good workflow is essential for replicating your work, and replication is essential for good science. A workflow of data analysis is a process for managing all aspects of data analysis. Planning, documenting, and organizing your work; cleaning the data; creating, renaming, and verifying variables; performing and presenting statistical analyses; producing replicable results; and archiving what you have done are all integral parts of your workflow. Long shows how to design and implement efficient workflows for both one-person projects and team projects.

Suggested Citation

  • J. Scott Long, 2009. "The Workflow of Data Analysis Using Stata," Stata Press books, StataCorp LP, number wdaus, November.
  • Handle: RePEc:tsj:spbook:wdaus
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    File URL: http://stata-press.com/books/wdaus-preface.pdf
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    References listed on IDEAS

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    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Austin Nichols, 2006. "Weak Instruments: An Overview and New Techniques," North American Stata Users' Group Meetings 2006 3, Stata Users Group.
    3. James H. Stock & Mark W. Watson, 2008. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," Econometrica, Econometric Society, vol. 76(1), pages 155-174, January.
    4. Anna Mikusheva & Brian P. Poi, 2006. "Tests and confidence sets with correct size when instruments are potentially weak," Stata Journal, StataCorp LP, vol. 6(3), pages 335-347, September.
    5. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
    6. Gueorgui I. Kolev, 2006. "Stata tip 31: Scalar or variable? The problem of ambiguous names," Stata Journal, StataCorp LP, vol. 6(2), pages 279-280, June.
    7. L. Randall Wray & Stephanie Bell, 2004. "Introduction," Chapters,in: Credit and State Theories of Money, chapter 1 Edward Elgar Publishing.
    8. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    9. Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LP, edition 3, number saus3.
    10. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2.
    11. Philippe Robert-Demontrond & R. Ringoot, 2004. "Introduction," Post-Print halshs-00081823, HAL.
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    Citations

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    Cited by:

    1. Stefan Friedhoff & Christian Meier zu Verl & Christian Pietsch & Christian Meyer & Johanna Vompras & Stefan Liebig, 2013. "Replicability and Comprehensibility of Social Research and its Technical Implementation," Working Paper Series of the German Council for Social and Economic Data 219, German Council for Social and Economic Data (RatSWD).
    2. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.

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    Keywords

    Stata; data management; workflow;

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