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4 - Experiment Design

Published online by Cambridge University Press:  24 March 2022

Isabel Wagner
Affiliation:
De Montfort University, Leicester
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Summary

This chapter explains how to design experiments to study black-box corporate surveillance systems. The chapter first examines the kinds of research questions that can be asked about corporate surveillance systems. Then, it describes different high-level study designs for transparency research, followed by a look at longitudinal studies and how they can be conducted. After examining the challenges that transparency researchers face in designing these experiments, the chapter focuses on input variables that are influenced and varied during an experiment, variables that are outside the experimenter's influence, and variables that are measured (response or output variables).

Type
Chapter
Information
Auditing Corporate Surveillance Systems
Research Methods for Greater Transparency
, pp. 59 - 100
Publisher: Cambridge University Press
Print publication year: 2022

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  • Experiment Design
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.007
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  • Experiment Design
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.007
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Experiment Design
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.007
Available formats
×