IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v178y2015i4p787-790.html
   My bibliography  Save this article

Editorial: Big data in social research

Author

Listed:
  • Natalie Shlomo
  • Harvey Goldstein

Abstract

No abstract is available for this item.

Suggested Citation

  • Natalie Shlomo & Harvey Goldstein, 2015. "Editorial: Big data in social research," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 787-790, October.
  • Handle: RePEc:bla:jorssa:v:178:y:2015:i:4:p:787-790
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssa.2015.178.issue-4
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nikolaos Askitas, 2016. "Big Data is a big deal but how much data do we need? [Big Data gut und schön. Aber wie viel Data brauchen wir?]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 113-125, October.
    2. Henning Silber & Johannes Breuer & Christoph Beuthner & Tobias Gummer & Florian Keusch & Pascal Siegers & Sebastian Stier & Bernd Weiß, 2022. "Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 387-407, December.
    3. Ralf Thomas Münnich & Markus Zwick, 2016. "Big Data und was nun? Neue Datenbestände und ihre Auswirkungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 73-77, October.
    4. Georgios Magkonis & Karen Jackson, 2019. "Identifying Networks in Social Media: The case of #Grexit," Networks and Spatial Economics, Springer, vol. 19(1), pages 319-330, March.
    5. Vanhala, Mika & Lu, Chien & Peltonen, Jaakko & Sundqvist, Sanna & Nummenmaa, Jyrki & Järvelin, Kalervo, 2020. "The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research," Journal of Business Research, Elsevier, vol. 106(C), pages 46-59.
    6. Klingwort, Jonas, 2021. "Die Verwendung von Straßensensoren und Capture-recapture-Techniken zur Messfehlerkorrektur in Surveys," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 73(1), pages 49-58.
    7. Maciej Beręsewicz, 2017. "A Two-Step Procedure to Measure Representativeness of Internet Data Sources," International Statistical Review, International Statistical Institute, vol. 85(3), pages 473-493, December.

    More about this item

    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:bla:jorssa:v:178:y:2015:i:4:p:787-790. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.