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The Workflow of Data Analysis Using Stata

Author

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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, March.
    • Handle: RePEc:tsj:spbook:wdaus
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    File URL: http://stata-press.com/books/wdaus-preface.pdf
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    Citations

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    Cited by:

    1. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
    2. Valérie Orozco & Christophe Bontemps & Élise Maigné & Virginie Piguet & Annie Hofstetter & Anne Marie Lacroix & Fabrice Levert & Jean-Marc Rousselle, 2017. "How to make a pie? Reproducible Research for Empirical Economics & Econometrics," Post-Print hal-01939942, HAL.
    3. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    4. Richard Ball & Norm Medeiros, 2012. "Teaching Integrity in Empirical Research: A Protocol for Documenting Data Management and Analysis," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(2), pages 182-189, April.
    5. Fernando Hoces de la Guardia & Sean Grant & Edward Miguel, 2021. "A framework for open policy analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 154-163.
    6. Xiaodan Hu & Pedro Villarreal, 2019. "Public Tuition on the Rise: Estimating the Effects of Louisiana’s Performance-Based Funding Policy on Institutional Tuition Levels," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(5), pages 636-669, August.
    7. 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," RatSWD Working Papers 219, German Data Forum (RatSWD).
    8. 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.

    More about this item

    Keywords

    Stata; data management; workflow;
    All these keywords.

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