IDEAS home Printed from https://ideas.repec.org/a/cog/socinc/v2y2014i4p14-22.html
   My bibliography  Save this article

Proper Methodology and Methods of Collecting and Analyzing Slavery Data: An Examination of the Global Slavery Index

Author

Listed:
  • Andrew Guth

    (Terrorism, Transnational Crime and Corruption Center, School of Policy, Government, and International Affairs, George Mason University, USA)

  • Robyn Anderson

    (Terrorism, Transnational Crime and Corruption Center, School of Policy, Government, and International Affairs, George Mason University, USA)

  • Kasey Kinnard

    (Terrorism, Transnational Crime and Corruption Center, School of Policy, Government, and International Affairs, George Mason University, USA)

  • Hang Tran

    (Terrorism, Transnational Crime and Corruption Center, School of Policy, Government, and International Affairs, George Mason University, USA)

Abstract

The Global Slavery Index aims to, among other objectives, recognize the forms, size, and scope of slavery worldwide as well as the strengths and weaknesses of individual countries. An analysis of the Index’s methods exposes significant and critical weaknesses and raises questions into its replicability and validity. The Index may prove more valuable in the future if proper methods are implemented, but the longer improper methods are used the more damage is done to the public policy debate on slavery by advancing data and policy that is not based on sound methodology. To implement proper methods, a committee of sophisticated methodologists needs to develop measurement tools and constantly analyze and refine these methods over the years as data is collected.

Suggested Citation

  • Andrew Guth & Robyn Anderson & Kasey Kinnard & Hang Tran, 2014. "Proper Methodology and Methods of Collecting and Analyzing Slavery Data: An Examination of the Global Slavery Index," Social Inclusion, Cogitatio Press, vol. 2(4), pages 14-22.
  • Handle: RePEc:cog:socinc:v:2:y:2014:i:4:p:14-22
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/socialinclusion/article/view/195
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rosa Lavelle-Hill & Gavin Smith & Anjali Mazumder & Todd Landman & James Goulding, 2021. "Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    2. Siobhan McGrath & Fabiola Mieres, 2022. "The Business of Abolition: Marketizing ‘Anti‐slavery’," Development and Change, International Institute of Social Studies, vol. 53(1), pages 3-30, January.

    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:cog:socinc:v:2:y:2014:i:4:p:14-22. 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: António Vieira (email available below). General contact details of provider: https://www.cogitatiopress.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.