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5 - Data Collection

Published online by Cambridge University Press:  24 March 2022

Isabel Wagner
Affiliation:
De Montfort University, Leicester
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Summary

This chapter describes methods for executing the designed experiment and recording the response variables. The ethical implications of the experiment have to be considered before starting data collection, with the aim to minimize harmful impacts. Various data sources and data collection methods are available: archival data sources, passive data collection, active data collection with methods to influence input variables, data collection from mobile apps, and data collection via crowdsourcing. The chapter also describes methods to store the collected data.

Type
Chapter
Information
Auditing Corporate Surveillance Systems
Research Methods for Greater Transparency
, pp. 101 - 124
Publisher: Cambridge University Press
Print publication year: 2022

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  • Data Collection
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.008
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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 Dropbox.

  • Data Collection
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.008
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.

  • Data Collection
  • Isabel Wagner, De Montfort University, Leicester
  • Book: Auditing Corporate Surveillance Systems
  • Online publication: 24 March 2022
  • Chapter DOI: https://doi.org/10.1017/9781108946940.008
Available formats
×