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Converging Science and Policy: A Method for Time-Series Analysis of Deterrent Impacts

NCJ Number
111143
Date Published
May 1988
Publication Type
Publication
Annotation
Interrupted time-series analysis offers a useful approach for providing scientifically valid and understandable policy evaluations, as illustrated by the use of the technique to examine the impact of a new Arizona law concerning driving while intoxicated.
Abstract

The existing criminological literature contains few analyses of the deterrent impact of legislation, and few of these are methodologically sound. However, statistical methods that are uniquely suited for the analysis of deterrent impacts are now available in popular, user-friendly computer software programs. These methods give criminal justice researchers the opportunity to become more involved in the creation of criminal justice policy. In the Arizona example, monthly data for daytime and nighttime fatal and injury crashes from 1978 through 1983 were analyzed and modeled using a quasi-experimental design. The analysis showed that the extensive publicity campaigns resulted in a significant reduction in nighttime crashes involving injuries or fatalities. Tables, figures, and 19 references.

Date Created: January 17, 2012