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Selling effective violence prevention policies to the public: a nationally representative framing experiment

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Abstract

Objectives

After years of decreasing public punitiveness and declining crime rates, politicians are seeking evidence-based crime policies to reduce mass incarceration without increasing crime. One such policy that has been implemented in several US cities is the Operation Peacemaker Fellowship (OPF), which incentivizes conformity and program participation by providing monetary stipends to individuals at risk of violent offending, thereby simultaneously reducing violence and incarceration. Yet, there is no evidence about public support for such policies.

Methods

Using a nationally representative survey experiment, we examine public support for violence prevention stipends. We employ a referendum-style, contingent valuation design to measure the impact of tax increases versus tax savings on public opinion, and we randomize message framing that emphasizes the stipend program’s risky versus protective features.

Results

Both tax changes and risk framing matter. The public is willing to vote for stipends when they reduce taxes and are framed as a method to save lives. Most Republicans oppose stipends under all conditions.

Conclusions

Reformers can increase public support for effective, nonpunitive policies that target violent offenders by emphasizing both their economic and social benefits. However, such policies are likely to face consistent opposition from certain portions of the public.

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Notes

  1. https://news.gallup.com/poll/1606/death-penalty.aspx

  2. The stipend of up to $1000 per month is substantially less than the average cost to house a single inmate in the USA of roughly $35,000 per year (Vera Institute of Justice 2017).

  3. The cities noted by ONS in their 2016 annual report are Atlanta, Baltimore, Boston, Chicago, Cleveland, Coatesville, Detroit, Gary, Hartford, Indianapolis, Lexington, Lima, Los Angeles, Memphis, Miami Gardens, Miami, New Orleans, New York, Oakland, Omaha, Philadelphia, Sacramento, Salina, San Jose, St. Louis, Washington DC, and Wilmington.

  4. The timing of the program’s costs versus savings may also influence public opinion. The public may be less supportive if taxpayer costs are immediate but savings are delayed, even if the savings outweigh the costs.

  5. The GfK Group invited 3458 panelists to participate in our survey, of whom 1002 completed the questionnaire, for a study-specific completion rate of 29%. Of those 1002 respondents, a subset of 668 were assigned to receive the experimental manipulations reported herein; the other 334 were randomly assigned to different conditions. The average profile rate was 63%, and the average panel recruitment rate was 12%. To adjust for nonresponse, the data were weighted using population benchmarks from the U.S. Census and Current Population Survey. Nonresponse bias is not strongly related to response rates, nor will it affect the internal validity of experimental findings.

  6. In a supplementary analysis (not shown), we examined whether the experimental conditions interacted to influence voting intentions. They did not (b = − .179, OR = .836, p < .602), indicating that tax changes and risk framing have additive effects on public opinion.

  7. Because of the well-known issues with testing for interactions in nonlinear probability models, we also estimated supplementary heterogeneous choice models including partisan identification in the variance equation. Finally, we estimated linear probability models, which are appropriate for experimental analyses (Huang 2019). The findings were substantively the same across all model specifications.

  8. At the request of a reviewer, we estimated a supplementary model including three-way interactions between the experimental manipulations and partisan identification, along with the two-way interactions. Neither three-way interaction was statistically significant: reduction × protective × independent (b = .564, OR = 1.758, p = .541) and reduction × protective × democrat (b = 1.611, OR = 5.010, p = .108).

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Acknowledgments

The authors thank Teddy Wilson for his help with designing the survey and collecting the data.

Funding

This research was supported by funding from the Hindelang Criminal Justice Research Center at the University at Albany, SUNY.

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Correspondence to Justin T. Pickett.

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Pickett, J.T., Ivanov, S. & Wozniak, K.H. Selling effective violence prevention policies to the public: a nationally representative framing experiment. J Exp Criminol 18, 387–409 (2022). https://doi.org/10.1007/s11292-020-09447-6

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