IDEAS home Printed from https://ideas.repec.org/b/tsj/spbook/wdaus.html
   My bibliography  Save this book

The Workflow of Data Analysis Using Stata

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://stata-press.com/books/wdaus-preface.pdf
    File Function: downloadable preface
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.

    More about this item

    Keywords

    Stata; data management; workflow;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:spbook:wdaus. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-press.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.