Publication Date
2013
Document Type
Article
Abstract
This essay argues that third-party data collection, particularly of administrative complaints and departmental audit information, holds greater promise than lawsuit data collection. It does so by asserting that third-party data collection is more useful for three reasons. First, third-party data collection prevents manipulation by individual police officers and law enforcement agencies. Second, it assures that police behavioral trends are actually identified. Lastly, third-party data collection helps to deter published § 1983 cases. The essay, however, only models and tests the final claim.
Publication Title
Wake Forest Law Review Online
Volume
3
Recommended Citation
Randall K. Johnson,
Why Police Learn from Third-Party Data,
3
Wake Forest Law Review Online
1
(2013).
Available at:
https://irlaw.umkc.edu/faculty_works/341
Included in
Data Science Commons, Law and Race Commons, Law Enforcement and Corrections Commons, Race and Ethnicity Commons, Statistics and Probability Commons