Lessons Learned From a CCTV-Facilitated Study of Shoplifting

• In Event: Crime Caught on Camera I

Abstract

This paper reflects upon important methodological, theoretical, and policy-oriented lessons learned from a CCTV-facilitated study of shoplifting. The project in question employed principles of random selection, covert observation via CCTV, systematic coding of behavior, and quantitative analysis to approximate a true to life depiction of who actually steals and how. Great care was taken in site selection, random selection of shoppers, camera placement, data template construction, and statistical modeling. Driven by cost issues, mid-study changes were made to the research design that compromised the random selection of shoppers. This resulted in unexpected data outcomes and necessitated innovative analytical techniques to correct for systematic observer bias. In the final analysis, the project questioned existing profiles of shoplifters and shoplifting behavior, elaborated upon the dark figure of crime, and raised important theoretical and policy implications. We use this essay to reflect upon the subject and methodological lessons and make the case for expanded use of observational methods to study criminal acts committed in public spaces.

Authors

• Dean Dabney, Georgia State University

• Laura Dugan, University of Maryland

• Richard C. Hollinger, University of Florida

• Volkan Topalli, Georgia State University