Crucial considerations when using 1033 Program data as a measure of police militarization

Bibliographic Data

ID21177644
AuthorsWendy M Koslicki (0000-0002-4149-5949, Ball State University, corresponding author)
Year2023
Volume24
Issue1
Pages122-128
Publication date2023-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePolice Practice and Research (JOURNAL)
Journal identifiersISSN: 1561-4263 • E-ISSN: 1477-271X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15614263.2022.2140663
OpenAlexW4307464876
LanguageEN
Citations received3
References cited15

The 1033 Program has become a favored dataset for scholars examining the impact of police militarization on outcomes such as fatal force and crime rates. However, these data are often not treated appropriately, leading to mixed results that have been salient in US policy decision-making. Beyond the US, other nations looking at these studies may use their implications in decision-making about equipping the police with military items, and improperly handled data may generate inaccurate conclusions that drive policy decisions. To illustrate necessary considerations for proper data handling, this article conducts a systematic review of quantitative literature using 1033 Program data to determine how these data were handled. Findings show that 12 out of 14 peer-reviewed articles do not use the data properly for longitudinal data, and that a wide variety of categorization schemes are used. This article concludes with best practice recommendations for obtaining, structuring, and categorizing the data

Categorization · Computer security · Data science · Management science · Militarization · Political science · Politics · Salient · Structuring · Computer Science · Crime Patterns and Interventions · Engineering · Gun Ownership and Violence Research · Law · Policing Practices and Perceptions · Psychology · Artificial Intelligence

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