Overview
Interrupted time series models compare the levels of a time series before and after the introduction of a discrete intervention. The time series design is often a good match to the questions posed in criminology and criminal justice studies, and many examples of its use appear in the research literature.
The popularity of interrupted time series designs is largely attributable to the strength of the causal inferences that they allow. Shadish, Cook, and Campbell (2002) evaluate a variety of common research designs in terms of their ability to guard against threats to four types of validity: statistical conclusion validity, internal validity, construct validity, and external validity. Within each threat category, they consider a more detailed list of potential problems. Interrupted time series models are vulnerable to comparatively few of the issues that Shadish et al....
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McDowall, D., McCleary, R. (2014). Interrupted Time Series Models. In: Bruinsma, G., Weisburd, D. (eds) Encyclopedia of Criminology and Criminal Justice. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5690-2_184
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DOI: https://doi.org/10.1007/978-1-4614-5690-2_184
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