The use of the Psychological Inventory of Criminal Thinking Styles with English young offenders

Objectives. This study examines the psychometric properties of the Psychological Inventory of Criminal Thinking Styles (PICTS) with a sample of imprisoned English young offenders. Method. The reliability and validity of the PICTS scales were investigated, and changes in scores on the PICTS scales over a 6‐month period were analysed. Results. The findings suggested that from a psychometric perspective the PICTS scales were not performing as well with young offenders as with adult prisoner samples. The indices of reliability and validity were of a moderate level. Test‐retest scores calculated over the 6 months showed little change on the PICTS scores. Conclusion. The use of the PICTS scales with young offenders is discussed with reference to previous research with adult offenders in England and North America.     

Predicting reconviction using the Psychological Inventory of Criminal Thinking Styles with English prisoners

Purpose. The purpose of this study was to investigate the utility of the Psychological Inventory of Criminal Thinking Styles (PICTS) in predicting reconviction in a sample of male prisoners. Method. The PICTS was administered to 174 incarcerated male offenders at the point of their release from prison. Reconviction data were collected at a 2‐year follow‐up. Results. Of the eight PICTS scales, only superoptimism differed significantly between reconvicted and non‐reconvicted prisoners, even when age and number of previous convictions were controlled for. Reconvicted offenders scored significantly higher on superoptimism, indicating a more criminal attitude. This finding was supported by a sequential logistic regression, where superoptimism contributed significant predictive power to predicting reconviction beyond a model containing age and number of previous convictions. Conclusions. The results are compared with previous research using the PICTS to predict release outcome. The utility of the PICTS as a predictor for release outcome is discussed.     

Measuring criminal thinking styles: The construct validity and utility of the PICTS in a Dutch prison sample

Purpose. Criminal thinking and thinking styles are important areas in the assessment and treatment of offenders. The Psychological Inventory of Criminal Thinking Styles (PICTS: Walters, 2005) is designed to assess such criminal thinking styles. In the current study, the associations between criminal thinking styles on the one hand, and criminal histories, personality traits, and mental disorders of Dutch prisoners on the other, were explored. The aim is to test the reliability and construct validity of the PICTS in a population of male Dutch detainees. Methods. A sample of 191 randomly selected male prisoners of a large Dutch correctional institution were assessed by means of the PICTS, NEO‐PI‐R, and the MINI psychiatric interview. Prison inmates with very severe psychiatric symptoms and severe disruptive behaviours were excluded. Results. The psychometric qualities of the PICTS were found to be fair‐to‐good. The construct validity of the PICTS was supported by various convergent results with the criminal antecedents of the offenders, as well as with the scores on the scales measuring personality traits and psychiatric disorders. Conclusions. The associations between criminal thinking styles on the one hand and personality traits, antisocial personality disorder, and mental disorders on the other were rather strong. The current results suggest that the PICTS may be a valid and useful tool for assessing criminal thinking styles.     

Predicting Recidivism with the Psychological Inventory of Criminal Thinking Styles and Level of Service Inventory-Revised: Screening Version

Recidivism was evaluated in 178 male inmates administered the Psychological Inventory of Criminal Thinking Styles (PICTS) and scored on the Level of Service Inventory-Revised: Screening Version (LSI-R:SV) 1–55 months before their release from prison. Age, prior charges, the LSI-R:SV total score, and the PICTS General Criminal Thinking (GCT), Proactive Criminal Thinking (P), and Reactive Criminal Thinking (R) scores served as predictors of recidivism in follow-ups spanning 1–53 months. Age, prior charges, and the PICTS GCT and R scales consistently and incrementally predicted general recidivism (all charges), whereas prior charges and the PICTS R scale consistently and incrementally predicted serious recidivism (more serious charges). Although these results support the predictive efficacy and incremental validity of content-relevant self-report measures of criminality like the PICTS, they also indicate that the effect is modest and in need of further clarification. One area requiring further investigation is the potential role of the PICTS, particularly the R scale, as a dynamic risk factor.     

Effect of test administration set on the Psychological Inventory of Criminal Thinking Styles (PICTS)

The Psychological Inventory of Criminal Thinking Styles (PICTS) was administered to 160 male prisoners on admission to a medium-security federal correctional facility. A total of 106 of these inmates completed the PICTS a second time 6 months later in a routine follow-up of the intake PICTS; the other 54 inmates completed the PICTS a second time approximately 6 months later during the initial session of a psychological group. Results showed that inmates participating in the psychological group were less defensive and endorsed more criminal thinking items on the second administration of the PICTS, whereas inmates participating in the routine follow-up were more defensive and less likely to endorse criminal thinking items on the second PICTS. Despite a general increase in the magnitude of PICTS scores for program participants, the overall pattern of scale elevations (correlations between scales and high-point pairs) was comparable across the two groups.     

Testing the construct validity of the PICTS proactive and reactive scores against six putative measures of proactive and reactive criminal thinking

This study tested the construct validity of the Psychological Inventory of Criminal Thinking Styles (PICTS) Proactive (P) and Reactive (R) scores. The layperson version of the PICTS was administered to 277 (65 male, 212 female) undergraduates and correlated with putative measures of proactive and reactive criminal thinking. The hypothesis that P and the proactive scales would correlate ≥.30 in zero-order correlations and regression equations controlling for R, whereas R and the reactive scales would correlate ≥.30 in zero-order correlations and regression equations controlling for P found support in this study. This corroborates the construct validity of the PICTS P and R scores and indicates that self-report measures of moral disengagement and neutralization, on the one hand, and impulsivity and risk taking, on the other hand, may serve as effective proxies for proactive and reactive criminal thinking, respectively.     

Measuring proactive and reactive criminal thinking with the PICTS: correlations with outcome expectancies and hostile attribution biases

Research studies have determined that proactive or instrumental aggression correlates with positive outcome expectancies for violence, whereas reactive aggression correlates with hostile attribution biases. It was hypothesized that the Problem Avoidance factor scale of the Psychological Inventory of Criminal Thinking Styles (PICTS) would serve as an effective proxy for reactive criminal thinking and that the PICTS Self-Assertion/Deception factor scale would serve as an effective proxy for proactive criminal thinking. These two factor scales were subsequently correlated with positive outcome expectancies for crime (n=313) and a three-item index of hostile attribution bias (n=164) in a sample of male medium security prison inmates. As expected, the Problem Avoidance scale successfully predicted future hostile attribution biases but not positive outcome expectancies for crime, whereas the Self-Assertion/Deception scale successfully predicted future positive outcome expectancies for crime but not hostile attribution biases.     

Criminal-thinking styles and illegal behavior among college students: validation of the PICTS

The present study examined the relation of self-reported criminal-thinking styles and self-reported illegal behavior among college students. Participants were 177 male and 216 female (N=393) undergraduate students. Participants were divided by gender and further classified into four groups of self-reported illegal behavior: control-status offenses, drug crimes, property crimes, and violent crimes against people. The psychological inventory of criminal-thinking styles (PICTS) (1) measured criminal-thinking patterns on eight scales. Results indicated that males who committed violent crimes against people endorsed significantly higher levels of distorted criminal-thinking patterns on all scales than the control-status offenses, and drug crimes groups. Interestingly, female participants who committed property crimes displayed six significantly elevated PICTS scales whereas females with violent crimes against people had significant elevations on only four of the criminal-thinking style scales. These results extend Walter's initial validation of the PICTS with incarcerated respondents to a non-incarcerated population and show potential use of the PICTS with other populations.     

Prison Population Inflation, Overcrowding and Recidivism the Situation in France

Before looking at the latest research into the recidivism of long-term prisoners which was carried out in France, a general overview is presented as well as an analysis of the change to the French prison population over the last 20 years; a study of the prison population inflation, based on the triptych: stock, flow, duration, as well as the evolution of penal and socio-demographic structures. To study the problem of prison overcrowding, the authors applied a statistical method called concentration analysis, first introduced into prison demography by Pierre Tournier in the work of the Council for Penological Co-operation (Council of Europe).     

The Psychological Inventory of Criminal Thinking Styles and Psychopathy Checklist: Screening Version as Incrementally Valid Predictors of Recidivism

A follow-up of 107 male federal prison inmates previously tested with the Psychological Inventory of Criminal Thinking Styles (PICTS) and Psychopathy Checklist: Screening Version (PCL:SV) was conducted to test the incremental validity of both measures. The PICTS General Criminal Thinking (GCT) score was found to predict general recidivism and serious recidivism when age, prior charges, and the PCL:SV were controlled. The PCL:SV, on the other hand, failed to predict general and serious recidivism when age, prior charges, and the PICTS were controlled. These findings support the hypothesis that content-relevant self-report measures like the PICTS are capable of predicting crime-relevant outcomes above and beyond the contributions of basic demographic variables like age, criminal history, and such popular non-self-report rating procedures as the PCL:SV.     

Postdicting arrests for proactive and reactive aggression with the PICTS Proactive and Reactive composite scales

The criminal arrest histories of 262 medium-security male inmates were correlated with the Proactive (P) and Reactive (R) composite scales of the Psychological Inventory of Criminal Thinking Styles (PICTS). As predicted, only scores on the P scale correlated significantly with prior arrests for proactive aggression (robbery, burglary) and only scores on the R scale correlated significantly with prior arrests for reactive aggression (assault, domestic violence) when age, education, race, and marital status were controlled in a series of negative binomial regression analyses. The P and R scales also predicted the total number of arrests received by participants in this sample after these same four demographic measures were controlled. The implications of these results for the construct validity of the PICTS composite scales and for matching offenders to interventions are discussed.     

Predicting institutional adjustment with the Psychological Inventory of Criminal Thinking Styles composite scales: Replication and extension

Purpose . The principal aim of this study is to determine whether the Proactive (P) and Reactive (R) composite scales of the Psychological Inventory of Criminal Thinking Styles (PICTS) are capable of predicting institutional adjustment in a group of medium security prison inmates. Method . The P and R composite scales were correlated with dichotomized and count measures of total, non‐aggressive and aggressive incident reports (IRs) received during a 2‐year period in a group of 219 male medium security US federal prisoners. Results . The R scale predicted dichotomized total, non‐aggressive, and aggressive IRs (point biserial correlations, receiver operating characteristic (ROC) analysis, classification analyses) and all three classes of count IRs (negative binomial regression) when age, education, race, marital status, confining offence, prior disciplinary record, program completion and time in the institution were controlled. The P scale, on the other hand, predicted dichotomized total (point biserial correlation, classification analysis) and non‐aggressive (point biserial correlation, ROC) IRs and the total disciplinary count when age, education, race, marital status, confining offence, prior disciplinary record, program completion and time in institution were accounted for in a negative binomial regression. Conclusion . The modest but consistent relationship observed between the R scale and subsequent disciplinary infractions suggests that R may well serve as one component of a larger assessment battery for identifying inmate's at risk for future disciplinary problems.     

Use of the psychological inventory of criminal thinking styles to predict disciplinary adjustment in male inmate program participants

The Psychological Inventory of Criminal Thinking Styles (PICTS) was administered to program participants in two different federal prisons-a medium-security federal correctional institution and a maximum-security penitentiary-who were subsequently followed for a period of 24 months for evidence of disciplinary adjustment problems. Disciplinary outcome was measured by the total number of incident reports, the number of nonaggressive incident reports, and the number of aggressive incident reports received during the 24-month follow-up. Negative binomial regression was used to test the relationship between the eight PICTS thinking style scales and three disciplinary outcome measures because the total and nonaggressive disciplinary report distributions showed signs of overdispersion. The only PICTS thinking style scale to achieve statistical significance in this study was the Cutoff scale that successfully predicted total, nonaggressive, and aggressive incident reports in both samples.     

The impact of recidivism and capacity on prison populations

Prison crowding currently poses a serious problem for society. This problem is attributable to a failure to anticipate and plan for the increased numbers of individuals sentenced to prison over the last decade. Crowded prisons have forced many jurisdictions to release prisoners earlier than would have been the case with unlimited prison capacity and to initiate expensive prison construction programs. In this paper, we develop a prison population projection model that extends previous work by considering the impact of limited prison capacity on time served, releases, and future admissions. The model was demonstrated for the State of North Carolina. Results suggest the tradeoffs that exist between prison capacity and punitiveness as measured by time served in prison.Points of view are those of the authors and do not necessarily represent the official position of the U.S. Department of Justice.     

HOW THE U.S. PRISON BOOM HAS CHANGED THE AGE DISTRIBUTION OF THE PRISON POPULATION

This article provides a demographic exposition of the changes in the U.S prison population during the period of mass incarceration that began in the late twentieth century. By drawing on data from the Survey of Inmates in State Correctional Facilities (1974–2004) for inmates 17–72 years of age (N = 336), we show that the age distribution shifted upward dramatically: Only 16 percent of the state prison population was 40 years old or older in 1974; by 2004, this percentage had doubled to 33 percent with the median age of prisoners rising from 27 to 34 years old. By using an estimable function approach, we find that the change in the age distribution of the prison population is primarily a cohort effect that is driven by the “enhanced” penal careers of the cohorts who hit young adulthood—the prime age of both crime and incarceration—when substance use was at its peak. Period‐specific factors (e.g., proclivity for punishment and incidence of offense) do matter, but they seem to play out more across the life cycles of persons most affected in young adulthood (cohort effects) than across all age groups at one point in time (period effects).     

Where the Margins Meet: A Demographic Assessment of Transgender Inmates in Men’s Prisons

Drawing on official data and original interview data on 315 transgender inmates in California prisons for men, this research provides the first empirical portrayal of a prison population in California that is unique by virtue of being both transgender and incarcerated. Situated at the nexus of intersecting marginalities, transgender inmates fare far worse on standard demographic and health measures than their non‐transgender counterparts in the US population, the California population, the US prison population, and the California prison population. With the possible exceptions of partnership status and educational attainment, these factors combine to reveal that transgender inmates are marginalized in heretofore undocumented ways. At a time in which an evidence‐based approach to corrections is increasingly embraced by corrections officials in the US, this article provides the first systematic profile of transgender prisoners. It reveals they can be regarded as a special population that, from a policy point of view, raises what Minow calls “the dilemma of difference”.     

Cumulative impact: Why prison sentences have increased*

Why has the probability of going to prison after a felony conviction increased since the early 1980s? Social scientists often try to answer this question through macro‐level research that is aimed at examining correlations between prison admissions and crime rates or sociopolitical characteristics of states. That type of macro‐level inquiry, however, does not allow for a close examination of how characteristics of offenders changed over time, and whether such changes are consequential for understanding trends in the use of imprisonment. In the current study, I take a different approach—one in which case‐level data are observed over a lengthy time span—to investigate why the likelihood of going to prison for a given crime persistently increased for several decades. The results of analyses of more than 350,000 felony cases sentenced in Minnesota during a 33‐year period show that the probability of a defendant receiving a prison sentence increased from 1981 to 2013, as would be expected. The primary reason for the rising probability of imprisonment was the significant increase in the average offender's criminal record, which more than doubled during the observation period.     

An evaluation of the Enhanced Thinking Skills (ETS) programme with mentally disordered offenders in a high security hospital

Purpose. Further to evidence of the successful application of cognitive skills programmes with offenders in HM prison service, the Enhanced Thinking Skills (ETS) training course is now delivered in various secure forensic hospitals, and its usefulness with an offender patient population merits examination. Our aim was to evaluate the impact of ETS using measures designed to capture change in key areas targeted by the course, and a more global measure of mental well‐being. Methods. Offender patients (N = 83) referred for ETS between 2001 and 2006 via a wider groupwork service within a high security hospital were administered questionnaires before and after the training course, which was minimally adjusted to meet the needs of the patient population. Attendance rates, including ‘drop‐out’ (completion of 10 or less sessions) were recorded. Demographics by subgroup (completers vs. non‐completers), and the clinical significance of any changes endorsed by participants post‐group were examined. Results. ETS completers were significantly more likely than non‐completers to endorse changes in thinking style (e.g. a reduction in post‐course scores). Significant differences were observed at both the group and individual level in the direction of less externalization of blame, a slight increase in tolerance of frustration, an increase in social conformity, and improvement in critical reasoning skills. Furthermore there was a reduction in the endorsement of aggressive solutions to social problems. Conclusions. These findings demonstrate a significant short‐term impact of the course for mentally disordered offenders with regards change in aspects of their thinking style and enhancement of their social problem solving skills. This profile lends some support to the provision of ETS within secure hospital settings.     

Use of the MMPI-2 Restructured Clinical (RC) Scales in Detecting Criminal Malingering

The purpose of the present study was to assess the effects of criminal malingering on the MMPI-2 Restructured Clinical (RC) scales. Sixty undergraduate students were given the MMPI-2 twice. One administration was conducted according to the MMPI-2 manual, and the other was given with a special set of malingering instructions specific to a prison setting. The two MMPI-2 profiles for each participant were scored for both the Basic and RC scales. Eight participants were eliminated from the data analysis due to validity (VRIN or TRIN) concerns. Data from the remaining 52 participants were analyzed using a 2 × 2 repeated measures ANOVA. Results showed that, as expected, the participants achieved higher MMPI-2 scores in the malingering condition. Also, participants achieved higher scores overall on the Basic scales and a significant interaction showed that participants achieved higher scores on the Basic Scales in the malingering condition than on the RC scales in that condition. These results supported prior research, indicating that malingerers produce elevated RC profiles. However, the present results also suggest that the Basic scales may be more effective in actually detecting malingerers, mainly due to the much lower ceiling on the RC scaled scores. Further implications of these findings for research and clinical work are also discussed.     

Variety and frequency scales of antisocial involvement: Which one is better?

Purpose. The aim of this study was to examine whether a scale including frequency scores of antisocial behaviour is a more sensitive and better measure of antisocial involvement than a variety scale. Methods. Data from a representative sample of 1,292 Norwegian students aged 13 and 14 years was used to compare a 17‐item variety scale with two versions of a frequency scale covering the same 17 items. Internal consistency of the scales, stability coefficients (for 1‐year and 2‐year intervals), and associations with conceptually related variables (e.g. aggression, opposition, alcohol consumption) were examined. Results. Results indicated that using a scale including the (raw) frequencies of antisocial acts committed instead of a variety scale would result in reduced internal consistency, lower stability over time, smaller group differences and weaker associations with conceptually related variables. Similarly, in regression analyses the (raw) frequency scale contributed little to the explained variance in conceptually related variables over and beyond that contributed by the variety scale. Conclusions. Although the results for a log‐transformed frequency scale were about as good as for the variety scale, both practical, methodological, and to some extent, conceptual considerations argued against replacing the variety scale with the transformed frequency scale. However, there may be some minor benefits from using an appropriately transformed frequency scale as a supplement to a variety scale, and there are also situations where inclusion of frequency scores in antisocial scales may be essential.