Impact of Swift and Certain Sanctions

AuthorJacqueline Wormer,Brianne Posey,Christopher M. Campbell,Alex Kigerl,Zachary Hamilton
Published date01 November 2016
Date01 November 2016
DOIhttp://doi.org/10.1111/1745-9133.12245
RESEARCH ARTICLE
EVALUATING OFFENDERS ON
COMMUNITY SUPERVISION
Impact of Swift and Certain Sanctions
Evaluation of Washington State’s Policy for Offenders
on Community Supervision
Zachary Hamilton
Washington State University
Christopher M. Campbell
Portland State University
Jacqueline van Wormer
Washington State University
Alex Kigerl
Washington State University
Brianne Posey
Washington State University
Research Summary
In the wake of the mass incarceration movement, many states must now manage
the rebound of decarceration. Thermodynamic forces of the justice system, however,
have pushed former fiscal pressures of institutions onto that of community corrections.
Encouraged by the positive findings of recently piloted innovations,several jurisdictions
have taken great interest in the implementation of deterrence-based sanctioning models
when dealing with supervision violations. Among the first to implement a statewide
turn to this style of sanctioning, WashingtonState’s swift-and-certain (SAC) policy was
implemented in June 2012. The intent of SAC was to expand the model found in
Hawaii’sOpportunity Probation and Enforcement (HOPE) to a wider criminal justice
Direct correspondence to Zachary Hamilton, Department of Criminal Justice & Criminology, Washington State
Institute for Criminal Justice (WSICJ), Washington State University, Spokane, WA 99210-1495 (e-mail:
zachary.hamilton@wsu.edu).
DOI:10.1111/1745-9133.12245 C2016 American Society of Criminology 1009
Criminology & Public Policy rVolume 15 rIssue 4
Research Article Evaluating Offenders On Community Supervision
population, while emphasizing the reduction of confinement costs. This study focused
on the impact of SAC with regard to supervision outcomes for participants. By using a
quasi-experimental design, we examined confinement, recidivism, treatment,violation,
and costs outcomes of SAC participants. Findings reveal that SAC participants were
found to incur fewer sanctioned incarceration days after a violation, reduced odds of
recidivism, possessed greater treatment program utilization, reduced their propensity
of committing violations over time, and as a result, imposed lower correctional and
associated costs. The SAC model provides noteworthy positive effects and no appreciable
negative impacts on public safety.
Policy Implications
We further discuss the impact of SAC in the context of deterrence-based sanctioning.
Specifically,we explain how practices such as SAC may impact the future of sanctioning
community supervision conditions. Although many policies that emphasize deterrence
demonstrate inconsistent findings, immediate advantages of SAC take the form of fiscal
savings, indicating that these novel methods provide a form of justice reinvestment.
Additionally, connecting deterrence-based supervision methods to reductions in most
recidivism measures suggests that proportionality and quality assurancemay increase the
effectiveness of these policies. We recommend ways that such nuanced implementation
may be fruitful, as well as suggest ways of conceptualizing the theory of deterrence.
Policy makers can appropriately work its components into supervision practice without
depreciating the importance of treatment and addressing criminogenic needs.
Keywords
recidivism, violation, deterrence, supervision, repeated measures
During the last two decades, a large body of research has demonstrated how
punitive policies have led to substantial costs, both fiscally and socially (e.g.,
Clear, 2007; Schmitt, Warner, and Gupta, 2010). Many states have realized
that increases in spending on institutional corrections have yielded remarkably little in the
way of reducing recidivism and, instead, have triggered additional social costs (Blumstein
and Wallman, 2006; Clear, 2007; McNiel, Binder, and Robinson, 2005; Travis and Waul,
2004; Zimring and Hawkins, 1997). Embedded in this realization have been state efforts
in decarceration (Barker, 2011), which may be understood as a thermodynamic rebound of
mass incarceration (see Wright and Rosky, 2011). As systems aim to relieve practical and
fiscal pressures of institutional corrections (e.g., Austin and Fabelo, 2004; Engel, Larivee,
and Luedeman, 2009; Richards, Austin, and Jones, 2004; Schmitt et al., 2010), those same
pressures may be transferred to community corrections settings rather than being resolved.
Reduced budgets and fewer resources coupled with the supervision of now more than
5 million people have yielded many unforeseen problems in community corrections (e.g.,
1010 Criminology & Public Policy
Hamilton et al.
supervision caseloads; Pew Center on the States [PEW], 2009). Such problems have driven
some officials to seek solutions through system reassessment, which are meant to ensure that
resources are being placed into cost-effective and evidence-based supervision practices (e.g.,
Guevara and Solomon, 2009; Hamilton, van Wormer, Campbell, and Posey, 2015; Rempel,
2014; Taxmanand Belenko, 2012). Within this context, one major policy shift that arose to
become a national movement is the Justice Reinvestment Initiative (JRI). By emphasizing
the strategic placement of finite resources, JRI includes the redistribution of monies from
obsolete correctional practices into more effective modes of offender reformation (Clear,
2011; LaVigne et al., 2014).
Nevertheless, where this reinvestment is often necessarily focused towardincreasing the
opportunities for offender-change programming, larger, morefundamental issues tend to go
unaddressed. A particularly large issue surrounds the sanctioning of those who technically
violate their terms of supervision and may be perpetually returned to confinement. A sub-
stantial portion of the dramatic increase in incarceration over the past two decades has been
linked to difficulties related to confinement-based sanctioning for such violations (Grattet,
Petersilia, Lin, and Beckman, 2009; Maruschak and Bonczar, 2013). Some scholars have
attributed much of this problem to the systematic processes of increasing the supervision
intensity (e.g., Blumstein and Beck, 2005; Petersilia, 2009; Visher and Travis, 2003) and
“stacking”1additional conditions for violators (Blomberg and Lucken, 1994; Kleis, 2010;
Marciniak, 2000). Such arguments often have involved criticism of overzealouspolicies that
govern supervision practices, stating that increased intensity in both supervision and sanc-
tions leads to an unnecessary crackdown on violating behavior (e.g., Petersilia and Turner,
1993; Taxman, 2012).
These more traditional methods are most commonly associated with using confinement
as a sanction. Typically, these practices involve a question of how frequent and howlong the
violators are confined. On the whole, confinement has yielded several problematic outcomes
such as adding to offenders’ criminogenic factors (Bales and Piquero, 2011; Nagin, Cullen,
and Jonson, 2009) and being associated with iatrogenic effects among offenders on postre-
lease supervision (Campbell, 2015; Drake and Aos, 2012). As a result of the potentially
misplaced intensity of supervision, problems arise relating to the consistency and propor-
tionality violators receive, where ideally, supervision practices and the use of confinement
should take on a role more similar to that found in behavioral conditioning and deterrence
theories (e.g., Hawken, 2010). Such conditioning and deterrence approaches have been the
1. The term
stacking
is used here to denote the process by which community supervision officers
catalogue multiple counts of violations over time and then request sanctioning for the group
simultaneously. For example, if an offender violates by way of a positive urine analysis in his or her first
month, being late for a community corrections officer (CCO) visit in month two, and being identified as
living in an unauthorized area in month three, the CCO may request a sanction for all three violations
and a judge may administer three times the sanction duration than would be expected for a single
violation.
Volume 15 rIssue 4 1011

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