Advanced Search
MyIDEAS: Login to save this book or follow this series

The Workflow of Data Analysis Using Stata

Contents:

Author Info

  • J. Scott Long
Registered author(s):

    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.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://stata-press.com/books/wdaus-preface.pdf
    File Function: downloadable preface
    Download Restriction: no

    Bibliographic Info

    as in new window
    This book is provided by StataCorp LP in its series Stata Press books with number wdaus and published in 2009.

    ISBN: 1-59718-047-5
    Order: http://stata-press.com/books/wdaus.html
    Handle: RePEc:tsj:spbook:wdaus

    Contact details of provider:
    Web page: http://www.stata-press.com/

    Related research

    Keywords: Stata; data management; workflow;

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    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).

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:tsj:spbook:wdaus. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum) or (Lisa Gilmore).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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