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The landscape of American corrections is littered with the bones of rehabilitative efforts that failed. This is certainly no surprise, given some of the novel efforts at rehabilitating people who are convicted of a crime, some of which, unfortunately, remain part of corrections even today.
In a 2008 seminar at the Institute for Excellence in Justice at the Ohio State University Criminal Justice Research Center, Ed Latessa of the University of Cincinnati reviewed several high profile programs that claimed to be rehabilitative. These included such efforts as dance instruction for juveniles, drum circles for those on parole, yoga for those on probation, gardening, dog sledding and Handwriting Formation Therapy. To be clear, we have nothing against dance instruction, drum circles, yoga, gardening, dog sledding or handwriting, but their rehabilitative efficacy seems questionable. Although such programs are clearly not the norm, one has to wonder how well the concept of "evidence-based practice" has truly filtered down to inform correctional practice.
We have moved forward a great deal over the last decade in what we know about intervening with persons who commit crimes. The bulk of the research evidence clearly indicates that the programs most likely to produce robust results in reducing criminal recidivism have cognitive-behavioral foundations that target behaviors related to offending and amenable to change, and that use social learning strategies. In addition, the principles of correctional interventions suggest that programs should target those at medium- and high-risk for committing offenses and that program implementation should be a key consideration for any new program.
However, even interventions with substantial empirical support do not always produce consistent results and may even be associated with negative outcomes. One of the more prominent interventions recently linked to negative outcomes was Project Greenlight. The original evaluation of Project Greenlight examined its effect on the recidivism rates of participants at 12 months compared with those who received standard prerelease programming and others who received no prerelease programming. It found that Greenlight participants had higher rates of arrests and parole revocations.
We reassessed Project Greenlight by analyzing data over a 30-month period. In this reanalysis, we specifically examined differences by the level of risk of a person committing a crime. Although the longer-term assessment confirmed the original evaluation findings, we also found that outcomes varied by risk level — low-risk individuals appeared to benefit most from the program, whereas medium- and high-risk persons were harmed the most.
An Overview of Project Greenlight
The Greenlight program was developed and operated by the Vera Institute of Justice in conjunction with the New York State Department of Correctional Services and the Division of Parole. The program was built on the Reasoning and Rehabilitation (R & R) cognitive-behavioral program model. The literature on correctional interventions shows that cognitive-behavioral approaches, such as R & R, are associated with reductions in recidivism rates. Cognitive-behavioral programs typically address attributes most related to criminal behavior and most amenable to change. These include such factors as impulsivity, maladaptive patterns of thinking, antisocial peers and attitudes, poor social skills, and drug use. In addition to the cognitive-behavioral foundation, the program also incorporated a number of other program elements with empirical or anecdotal support in reducing recidivism, including employment assistance, housing assistance, drug education and relapse prevention, development of a release plan, practical skills training, and release documentation that included identification and insurance coverage.
For the Greenlight intervention, the R & R program was modified in three important ways:
- The intervention period was shortened to eight weeks from four to six months.
- Class sizes were increased to 26 participants from the recommended eight to 10.
- Additional modules were incorporated, as outlined above.
As a result, the program can be considered more intensive than the standard formulation, and the compressed time frame and increased class sizes likely make it more difficult to deliver effectively. However, the restructured program's appeal should be obvious: more individuals can participate with the potential for sizeable reductions in cost.
The original assessment of Greenlight's effectiveness evaluated the combined rate of arrests and parole revocations 12 months after subjects were released from a correctional facility. In our reassessment, we looked at a longer follow-up period of 30 months, and reanalyzed the outcomes by the risk of the study participants. Principles of correctional intervention suggest that programming should be reserved for medium- and high-risk individuals, so it is plausible to think that the intervention might have differential effects by the risk level of the participants, with medium- or high-risk individuals showing some benefits.
The treatment group consisted of the 345 individuals transferred to the pilot facility and participating in the Greenlight intervention before release (GL). A second group of 278, who were also transferred to the pilot facility but assigned to the N.Y. Department of Corrections Transitional Services Program (TSP), constituted our primary control group. A third group met the criteria for participation, but they were not transferred to the pilot facility due to space limitations. They were released directly from upstate facilities (UPS) and received no prerelease programming. The assignment process constitutes a relatively rigorous research design but has been described extensively elsewhere, so we do not discuss it here.
Because both the GL and TSP groups were transferred to the pilot facility and had similar experiences with the exception of the programming, we largely expected the intervention to account for any differences in outcomes. However, the UPS group deserves a short discussion because we can speculate that the effects could run in two different directions. To the degree that prerelease programming has net positive benefits, and UPS received no programming, we might expect the GL group (and to some degree, the TSP group) to do better. However, to the degree that the forced transfer and coerced participation in the program right before release might be disruptive and otherwise negatively experienced without achieving a therapeutic effect, we might expect the UPS group to do better than both GL and TSP.
Reconsidering the Evidence
The evaluation of Project Greenlight followed-up with participants one year after they were released. At that time, the investigators' analysis found significant negative outcomes associated with the intervention — the GL participants had more arrests and parole revocations than either the TSP and UPS groups. In this reanalysis, we look at outcomes at 30 months and examine them by the participants' risk level.
Results by Risk Level
In Exhibit 1, we show the percentage of participants who were living in the community at 30 months and had not been rearrested. Within each group, we examine the percentages by risk level. The data for the full sample, shown on the first row of the table, are consistent with the results of the one-year evaluation. Participants in the GL group had the highest recidivism rate, with less than half (47.5 percent with no rearrest) still in the community at 30 months. The difference of nearly 20 percentage points between it and the UPS group (66.4 percent with no rearrest) is statistically significant.
|(N = 345)
|(N = 278)
|(N = 112)
Note: All comparisons of statistical significance are with the GL group. ^ p < .10; * p < .05; ** p < .01
However, recidivism rates vary depending on risk level. The "risk principle" suggests that the most intensive programming should be reserved for those at medium and high risk, but it is those at low risk who appear to benefit most from the GL program. In contrast, high-risk TSP participants were more likely to avoid rearrest than high-risk GL participants.
Individuals in the UPS group were less likely to be arrested again compared with either GL or TSP participants for every risk level except high, in which results for UPS and TSP participants were similar. Further, despite the lack of statistical significance (largely due to inadequate statistical power due to small sample sizes), most of the contrasts suggest reasonable reductions in recidivism. The 25 percentage point difference between medium-risk GL and UPS (44 percent to 69 percent) individuals who offend is substantial. The question is, how do we explain these differences and what are the implications for correctional programming?
Making Sense of the Results
A number of explanations are possible for the results we present here. The most obvious is that the research design was flawed and that individuals who are more prone to crime were differentially assigned to each of the three groups — in short, the GL group has more high-risk participants than the TSP group, which has more than the UPS group. Although some differences in risk levels are evident, the strength of the research design and multivariate analyses with controls suggest that demographic and criminal history differences don't account for the differences in recidivism rates. We also affirm that attrition is not at issue: All individuals assigned to the treatment group completed the mandatory GL programming and were followed for the full period after release.
In the initial evaluation, discussions about the negative effects associated with the GL program centered on program design and implementation. The new results suggest a mismatch between the structure of the GL program and the population to which it was delivered.
Several factors support this conclusion. First, speculation about poor program implementation was bolstered by evidence that certain GL case managers accounted for nearly all of the negative program effects reflected in the original one-year follow-up figures. Such differences would suggest problems with the delivery of the program. However, in the most recent assessment of the data, variation among case managers shows much smaller differences across the board.
In addition, if the program were poorly structured or poorly delivered, it seems reasonable to think that the negative effects of the program due to problems with implementation would apply to all risk levels. At the very least, one might expect the lowest risk individuals to be most negatively affected if the program had been poorly structured or poorly delivered. However, in this case, the lowest risk individuals don't exhibit the same negative effects as the medium- and high-risk persons when the comparison is between GL and TSP.
So what can explain our findings? We would argue that the 30-month findings show low-risk individuals are the most amenable to the intensity of the Greenlight intervention. By definition, low-risk individuals are likely to be less impulsive, have better attention spans, better cognitive skills, better social skills and better verbal ability — in short, they are more likely to have the skills that serve one best in a classroom environment. Thus, it seems reasonable to think they would be better situated to process the more intensive and more compressed intervention that Project Greenlight provided.
Why would the medium- and high-risk individuals do so much more poorly with Greenlight? Perhaps, just as low-risk individuals possess the attributes that make them more suited for such intensive and compressed programming, medium- and high-risk individuals are more likely to possess traits that make them less suitable. The risk principle holds that the most intensive programming should be reserved for those who are at medium-to-high risk. However, treatment programs should be delivered in a style and mode consistent with the ability and learning style of the individual (the responsivity principle). As we have already noted, the GL intervention might be considered "very" intensive given its compressed delivery time, increased class sizes and additional program elements. This intensive programming, however, may not have been clinically appropriate. With high-risk individuals, programming can initially engender more resistance, creating anger, resentment and frustration at being forced to participate. Wilson and Davis noted that "if the intervention is not of sufficient length for a therapeutic effect to be realized, individuals may be released directly to the community still suffering the ill effects of coerced programming" rather than its intended therapeutic effects. In other words, the program might just be too short for intervening with high-risk individuals.
The other major question is why the UPS group, released directly from prison with no prerelease programming whatsoever, did so well, compared not only with the TSP group, but also to the GL group. For lack of a more plausible explanation at this point, one must consider the possibility that transferring individuals right at the end of their incarceration and coerced programming might be detrimental to their well-being. To the degree those who are incarcerated form social bonds and networks, are embedded within a specific community and a stable institutional life, and have some semblance of control over their lives, an involuntary transfer to another facility, with coerced programming to follow, may be disruptive and counterproductive. A diverse literature suggests that situations and events that create stress, especially those that generate a sense of powerlessness such as involuntary moves, can negatively impact a host of life outcomes, including recidivism. GL program designers assumed that transferring individuals to an institution in their home community right before release would help them in the prerelease planning process, especially in connecting participants to community-based service providers. Our data suggest that prison transfers or coerced programming just before release, or some combination of the two, might be counterproductive in significant ways.
Lessons for the Future
We believe the patterns of success between the three different groups across the different risk levels suggest important considerations for correctional program developers. It seems clear in hindsight that the GL developers failed to consider several important principles of effective correctional programming despite drawing from that literature.
One of the most important failures was to ignore participants' risk levels. Despite the notion that the most intensive interventions should be reserved for medium- and high-risk individuals, a notion that is intuitively and theoretically sound, our analysis suggests that some intensive interventions, especially those that are compressed into a very short time frame, may not be suitable for such people. They simply may not be capable of processing large amounts of material in such a compressed period of time. The structure of the GL program seems to have been much more suitable for the abilities of those at lowest risk. The positive performance of the low-risk group also suggests that such condensed programming has potential for rehabilitative efforts with such individuals. We also note that our findings may not be too disparate from other segments of the literature regarding correctional interventions. At least one meta-analytic review reports that results from evaluations of the R & R program show positive effects for both low- and high-risk individuals, with slightly stronger effects for low-risk persons, although differences between the two groups are not statistically significant. In this case, the more condensed "intensive" program might still have yielded positive effects for low-risk individuals, but exceeded the tipping point for what is suitable for medium- and high-risk individuals.
Our analysis also raises questions about the wisdom of forced transfers and coerced programming immediately before release. Despite the potential benefits of connecting those convicted of an offense to local service providers, disrupting social networks and existing routines, and creating or heightening any number of negative emotional states may be counterproductive, especially if sufficient time isn't allotted to counteract the more negative effects. At the very least, we think this explanation for the worse outcomes of the GL and TSP groups compared with the group that was not transferred is plausible and that these issues warrant a harder look.
For More Information
About This Article
This article appeared in NIJ Journal Issue 268, October 2011.
[note 1] Latessa, Edward J., "Improving the Effectiveness of Correctional Programs Through Research" (accessed August 4, 2011), Institute for Excellence in Justice Seminar (2008).
[note 2] Andrews, Don A., "Enhancing Adherence to Risk-Need-Responsivity: Making Quality a Matter of Policy," Criminology and Public Policy 5 (2006): 595–602. Cullen, Francis T., and Paul Gendreau, "Assessing Correctional Rehabilitation: Policy, Practice, and Prospects," in Policies, Processes, and Decisions of the Criminal Justice System, vol. 3, ed. J. Horney, Washington, DC: U.S. Department of Justice, 2000, NCJ 185530.
[note 3] Barnoski, Robert, Outcome Evaluation of Washington State's Research-Based Programs for Juvenile Offenders (accessed August 8, 2011), Olympia, WA: Washington State Institute for Public Policy, 2004. Lowenkamp, Christopher T., Edward J. Latessa, and Paula Smith, "Does Correctional Program Quality Really Matter? The Impact of Adhering to the Principles of Effective Intervention," Criminology and Public Policy 5 (2006): 575–594.
[note 4] Ritter, Nancy, "No Shortcuts to Successful Reentry: The Failings of Project Greenlight," Corrections Today 94 (December 2006): 94–97. Wilson, James A., "Habilitation or Harm: Project Greenlight and the Potential Consequences of Correctional Programming," NIJ Journal 257 (2006): 2–7. Wilson, James A., and Robert C. Davis, "Good Intentions Meet Hard Realities: An Evaluation of the Project Greenlight Reentry Program," Criminology and Public Policy 5 (2006): 303–338.
[note 5] Brown, Brenner, Robin Campbell, James A. Wilson, Yury Cheryachukin, Robert C. Davis, Jean Dauphinee, Robert Hope, and Kajal Gehi, Smoothing the Path From Prison to Home (pdf, 169 pages), Final report to the National Institute of Justice, grant number 2002-RT-BX-1001, April 2006, NCJ 213714.
[note 6] Simple percentages like this may be complicated by the differences in time spent at risk in the community. If one group has more time at risk, it might have higher percentages of rearrest. All participants had at least 30 months at risk and we censored all cases at 30 months. In doing so, we essentially controlled for differences in time at risk in the community that might account for differences in rearrests.
[note 7] Porporino, Frank, and Elizabeth Fabiano, Reasoning and Rehabilitation Revised: Theory and Application, Ottawa, Ontario, Canada: T3 Associates (2000).
[note 8] Wilson and Davis, "Good Intentions Meet Hard Realities: An Evaluation of the Project Greenlight Reentry Program," Criminology and Public Policy 5 (2006): 303–338.
[note 9] Tong, L.S. Joy, and David P. Farrington, "How Effective Is the 'Reasoning and Rehabilitation' Programme in Reducing Reoffending? A Meta-Analysis of Evaluations in Four Countries," Psychology, Crime and Law 12 (2006): 3–24.