Exploring the Correspondence Between General Correctional Programming and Inmate Misconduct Using a Time-Course Framework

AuthorJordan Papp,Shannon J. Linning,Ian A. Silver
Published date01 February 2022
DOI10.1177/0306624X21990811
Date01 February 2022
Subject MatterArticles
https://doi.org/10.1177/0306624X21990811
International Journal of
Offender Therapy and
Comparative Criminology
2022, Vol. 66(2-3) 209 –226
© The Author(s) 2021
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/0306624X21990811
journals.sagepub.com/home/ijo
Article
Exploring the
Correspondence Between
General Correctional
Programming and Inmate
Misconduct Using a
Time-Course Framework
Shannon J. Linning1, Ian A. Silver2,3,
and Jordan Papp4
Abstract
Inmate misconduct continues to threaten safety and order within correctional institutions.
Yet few studies have examined its longitudinal nature. In this paper we explore the
correspondence between correctional programming and inmate misconduct. To do this,
we draw from Linning etal.’s time-course framework devised to improve the design and
evaluation of interventions by considering effects that can occur before, during, and after
programming. We provide the first empirical demonstration of their framework using
prisoner misconduct data collected from all Ohio prisons between January 2008 and
June 2012. A cross-lagged panel analysis provides support for the use of a time-course
framework. Results show that misconduct decreased during programming. However,
we observed increases in misconduct prior to and following exposure to programming.
Our results suggest that future work needs to improve our understanding of causal
mechanisms of inmate misconduct and when their effects are expected.
Keywords
prisoner misconduct, correctional programming, program evaluation, time-course
framework, initial backfire, anticipatory effects, residual effects
1Simon Fraser University, Burnaby, BC, Canada
2Rowan University, Glassboro, NJ, USA
3University of Cincinnati, Cincinnati, OH, USA
4University of Michigan, Ann Arbor, MI, USA
Corresponding Author:
Shannon J. Linning, School of Criminology, Simon Fraser University, 8888 University Drive, Burnaby, BC
V5A 1S6, Canada.
Email: shannon_linning@sfu.ca
990811IJOXXX10.1177/0306624X21990811International Journal of Offender Therapy and Comparative CriminologyLinning et al.
research-article2021
210 International Journal of Offender Therapy and Comparative Criminology 66(2-3)
Introduction
In recent decades, we have seen an increase in rehabilitative programming adminis-
tered by correctional institutions (MacKenzie & Lattimore, 2018). The goal has been
to provide resources and training to offenders that reduces their likelihood of recidi-
vism post-release and makes them productive members of society (Lipsey & Cullen,
2007). Yet correctional institutions are simultaneously tasked with providing security
to staff and inmates, maintaining order, and assuring sentences are carried out
(Bottoms, 1999). Accomplishing these is important to keep staff and inmates safe,
keep prison costs in check, and to provide an environment conducive to successful
offender rehabilitation.
Maintaining order continues to be a challenge. At an institutional level, prisons deal
with thousands of disciplinary infractions annually that collectively impose an
immense financial burden (Tewksbury et al., 2014). Inmate misconduct, such as fight-
ing, selling drugs, and disobeying staff orders, undermines rehabilitative efforts
(Steiner & Wooldredge, 2014). Some studies suggest that inmates who engage in
prison misconduct are more likely to recidivate post-release thus undermining the
rehabilitative goals of prisons (Cochran & Mears, 2017; Silver & Nedelec, 2018a).
Although many studies have examined the correlates of inmate misconduct, most
are cross-sectional and few evaluate the influence of programming (French &
Gendreau, 2006; Steiner et al., 2014). There is an emerging literature showing the
importance of assessing misconduct in a longitudinal manner (e.g., Cihan et al., 2017;
Cochran, 2012; Silver & Nedelec, 2018b), but it is still in infant stages. To date, no
studies have examined the longitudinal correspondence between prison programming
and misconduct. It is possible that correctional programming can influence the time
in which inmates engage in misconduct. For instance, inmates often apply for pro-
gramming. In anticipation of the program, they may go on their best behavior with
hopes of gaining entry. As such, prisons may experience fewer incidents of miscon-
duct in the weeks before a program starts. However, as we will discuss, programming
can also influence offender behavior at other time periods, namely during and after.
Thus, it is worthwhile to assess misconduct and programming at different time peri-
ods. This is the focus of our paper. To do this, we draw upon Linning et al.’s (2019)
time-course framework.
Linning et al. (2019) argued that although interventions can reap desired results
overall, more subtle effects can occur at different times, namely before, during, and
after implementation. Consequently, they proposed a time-course framework to guide
the design and evaluation of interventions in criminal justice, including correctional
programming. Finding additional tools that can help practitioners develop practices
that make order maintenance and correctional programming compatible are invalu-
able. Our paper provides the first known demonstration of this time-course frame-
work. Specifically, we explore various temporal effects concerning prisoner misconduct
associated with correctional programming using longitudinal data collected from pris-
ons in Ohio. We examine whether programming influences inmate misconduct in cus-
tody before, during, and after programming.

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