Preventing treatment spillover contamination in criminological field experiments: the case of body-worn police cameras

Barak Ariel*, Alex Sutherland, Lawrence W. Sherman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Objectives: A central issue in experiments is protecting the integrity of causal identification from treatment spillover effects. The objective of this article is to demonstrate a bright line beyond which spillover of treatment renders experimental results misleading. We focus on a highly publicized recent test of police body cameras that violated the key assumption of a valid experiment: independence of treatment conditions for each unit of analysis. Methods: In this article, we set out arguments for and against particular units of random assignment in relation to protecting against spillover effects that violate the Stable Unit Treatment Value Assumption (SUTVA). Results: Comparisons to methodological solutions from other disciplines demonstrate several ways of dealing with interference in experiments, all of which give priority to causal identification over sample size as the best pathway to statistical power. Conclusions: Researchers contemplating which units of analysis to randomize can use the case of police body-worn cameras to argue against research designs that guarantee large spillover effects.

Original languageAmerican English
Pages (from-to)569-591
Number of pages23
JournalJournal of Experimental Criminology
Volume15
Issue number4
DOIs
StatePublished - 1 Dec 2019

Bibliographical note

Publisher Copyright:
© 2018, The Author(s).

Keywords

  • Body-worn cameras
  • Experiments
  • Interference
  • Partial interference
  • SUTVA
  • Spillover effects
  • Unit of randomization

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