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Quasi-experimental designs for community-level public health violence reduction interventions: a case study in the challenges of selecting the counterfactual

Abstract

Objectives

We highlight the importance of documenting the step-by-step processes used for the selection of comparison areas when evaluating a community-level intervention that targets a large-scale community.

Methods

We demonstrate the proposed method using a propensity score matching framework for an impact analysis of the Cure Violence Public Health Model in Philadelphia. To select comparison communities, propensity score models are run using different levels of aggregation to define the intervention site. We discuss the trade-offs made.

Results

We find wide variation in documentation and explanation in the extant literature of the methods used to select comparison communities. The size of the unit of analysis at which a community is measured complicates the decision processes, and in turn, can affect the validity of the counterfactual.

Conclusions

It is important to carefully consider the unit of analysis for measurement of comparison communities. Assessing the geographic clustering of matched communities to mirror that of the treated community holds conceptual appeal and represents a strategy to consider when evaluating community-level interventions taking place at a large scale. Regardless of the final decisions made in the selection of the counterfactual, the field could benefit from more systematic diagnostic tools that document and guide the steps and decisions along the way, and ask: “could there have been another way of doing each step, and what difference would this have made?” Overall, across community-level evaluations that utilize quasi-experimental designs, documentation of the counterfactual selection process will provide a more fine-grained understanding of causal inference.

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Notes

  1. Philadelphia CeaseFire originally emerged as a program in 2011 as a small pilot test to begin to build neighborhood support for full implementation of the Cure Violence Public Health Model. The pilot was comprised of three outreach workers and a supervisor, and their work was focused on one small hot spot within one Police Service Area in North Philadelphia.

  2. PSAs were established in 2009, after the new Police Commissioner (Charles Ramsey) was hired. Each PSA is headed by a police lieutenant, and includes an average of three sergeants and 39 officers who are responsible for patrolling the area. The idea is to increase police–community contact and officer involvement in the communities. The PSA model is considered a foundation of Philadelphia’s neighborhood policing strategy (Joyce 2016).

  3. Maps representing additional output with autocorrelated concentrated disadvantage included as a balancing variable are available from the authors upon request.

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Acknowledgements

Data collection and evaluation of Philadelphia CeaseFire was supported by Award No. 2012-PB-FX-K004, from the Office of Juvenile Justice and Delinquency Prevention, Office of Justice Programs, U.S. Department of Justice. The content of this paper, however, is solely the responsibility of the authors, and does not necessarily represent the official views of the U.S. Department of Justice.

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Correspondence to Caterina G. Roman.

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Roman, C.G., Klein, H.J. & Wolff, K.T. Quasi-experimental designs for community-level public health violence reduction interventions: a case study in the challenges of selecting the counterfactual. J Exp Criminol 14, 155–185 (2018). https://doi.org/10.1007/s11292-017-9308-0

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  • DOI: https://doi.org/10.1007/s11292-017-9308-0

Keywords

  • Counterfactual
  • Evaluation
  • Place-based
  • Propensity score matching
  • Violence