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3 - Validity

Figuring Out When Risk Algorithms Are Sufficiently Accurate

Published online by Cambridge University Press:  09 July 2021

Christopher Slobogin
Christopher Slobogin
Affiliation:
Vanderbilt University, Tennessee
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Summary

Describes the five types of validity that risk assessment instruments should demonstrate: calibration, discriminant validity, external and local validation, reliability (including a presumption against adjustment risk scores) and current validity

Keywords

incremental validityPPVAUCcategory base rateexternal validitylocal validationreliability
Type
Chapter
Information
Just Algorithms
Using Science to Reduce Incarceration and Inform a Jurisprudence of Risk
 , pp. 64 - 85
Publisher: Cambridge University Press
Print publication year: 2021

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  • Validity
  • Christopher Slobogin, Vanderbilt University, Tennessee
  • Book: Just Algorithms
  • Online publication: 09 July 2021
  • Chapter DOI: https://doi.org/10.1017/9781108988025.004
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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.

  • Validity
  • Christopher Slobogin, Vanderbilt University, Tennessee
  • Book: Just Algorithms
  • Online publication: 09 July 2021
  • Chapter DOI: https://doi.org/10.1017/9781108988025.004
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.

  • Validity
  • Christopher Slobogin, Vanderbilt University, Tennessee
  • Book: Just Algorithms
  • Online publication: 09 July 2021
  • Chapter DOI: https://doi.org/10.1017/9781108988025.004
Available formats
×