Transitioning Between Systems of Care: Missed Opportunities for Engaging Adults with Serious Mental Illness and Criminal Justice Involvement

Individuals with serious mental illness are overrepresented in the criminal justice system and face difficulties accessing mental health services both during incarceration and upon re‐entry into the community. This study examines how such individuals describe their experiences receiving care both during and after their time in custody and explores the perspectives of mental health service providers who treat this population upon re‐entry. Semi‐structured interviews were conducted with 43 individuals identified as having a history of serious mental illness and criminal justice involvement, as well as with 25 providers who have worked with this population. Clients noted the stress of transitioning to criminal justice settings, the uneven availability of services within jail and prison, and the significant challenges faced upon re‐entry. Providers reported barriers to working with this population, including minimal coordination with the criminal justice system and challenging behaviors and attitudes on the part of both clients and providers. Findings identify potential target areas for improved care coordination as well as for additional provider education regarding the unique needs of this population. Copyright © 2013 John Wiley & Sons, Ltd.     

Probability of Criminal Acts of Violence: A Test of Jury Predictive Accuracy

The ability of capital juries to accurately predict future prison violence at the sentencing phase of aggravated murder trials was examined through retrospective review of the disciplinary records of 115 male inmates sentenced to either life (n = 65) or death (n = 50) in Oregon from 1985 through 2008, with a mean post‐conviction time at risk of 15.3 years. Violent prison behavior was completely unrelated to predictions made by capital jurors, with bidirectional accuracy simply reflecting the base rate of assaultive misconduct in the group. Rejection of the special issue predicting future violence enjoyed 90% accuracy. Conversely, predictions that future violence was probable had 90% error rates. More than 90% of the assaultive rule violations committed by these offenders resulted in no harm or only minor injuries. Copyright © 2013 John Wiley & Sons, Ltd.     

Assessment of Historical Analysis and Argumentation (AHAA): A New Measure of Document-Based Historical Thinking

Abstract

A troubling gap exists between the current state of history assessment and the knowledge and skills deemed essential for students to thrive in the 21st century. We propose a new assessment of historical thinking that represents a promising alignment with extant cognitive research, as well as with the practices that undergird the discipline. In this article, we discuss the design of the Assessment of Historical Analysis and Argumentation (AHAA), as well as the accompanying scoring rubric, and report findings from our administration of multiple forms of the exam with secondary students (N?=?618). Evidence indicates that the exam captured student historical thinking about documents and that the items prompted students to construct a cognitive representation of intertextual reasoning. Given the dearth of assessments that capture student historical thinking about documents and their understanding of content, we believe the AHAA has the potential to be an important instructional resource.     

Perceived Impact of Professional Counselor Identity: An Exploratory Study

Counselor educators (N= 378) provided their viewpoints regarding the impact of counselor identity on professional advancement and recognition. Respondents indicated that counselors, the American Counseling Association, and other counseling organizations are responsible for advocacy of the counseling profession. Collaboration among counselors for the development of a single coherent message is necessary for advocacy efforts aimed at congressional Medicare leaders, managed care organizations, state licensing boards, and allied professions.     

The Moderating Effect of Machiavellianism on the Psychological Contract Breach–Organizational Identification/Disidentification Relationships

Purpose

We explore whether Machiavellianism—a personality trait which describes the extent to which individuals ignore values and ethical considerations when the ends justify the means—will influence their responses to their employing organizations’ failure to fulfil promised obligations (psychological contracts). Specifically, we draw on psychological contracts theory and the group value model to argue that Machiavellianism will moderate the relationships between psychological contract breach and (1) organizational identification; and (2) organizational disidentification.

Design/Methodology/Approach

We tested our hypotheses in a study of 262 employees from various organizations at two points in time.

Findings

We found that psychological contract breach was negatively related to organizational identification and positively related to organizational disidentification. Furthermore, employees with higher levels of Machiavellianism tended to disidentify with their organizations to a greater extent (at Time 2) in response to psychological contract breach (at Time 1) than did employees with low levels of Machiavellianism. Machiavellianism did not moderate the relationship between psychological contract breach and organizational identification.

Implications

Our study contributes to extant research exploring the importance of Machiavellianism in the workplace. Specifically, we show that employees with high levels of Machiavellianism are more likely to disidentify in response to psychological contract breach but do not tend to identify to a lesser degree.

Originality/Value

This study builds on the extant research exploring individual differences in the psychological contract dynamics by considering Machiavellianism as a moderator of the breach–outcome relationship.     

The Clinical and Forensic Value of Information that Children Report While Drawing

Drawing is commonly used in clinical interviews to help children talk about their experiences. Research has shown that drawing increases the amount of information that children report about some emotional experiences. Here, we aimed to investigate the use of drawing in interviews about other, clinically relevant emotions, and the clinical and forensic relevance of the information that children report while drawing. To do this, sixty 5‐ to 6‐ and 11‐ to 12‐year‐olds drew and told, or told, about prior experiences that had made them feel happy, angry, proud (confident), and worried (nervous). For all emotions, drawing and telling increased the amount of forensically relevant, episodic details (e.g., who was there and what happened) that children reported relative to telling alone. In contrast, drawing and telling did not alter the amount of information that children reported about clinically relevant details (e.g., thoughts and emotions). We discuss the implications of these findings for using drawing in interviews with children. Copyright © 2013 John Wiley & Sons, Ltd.     

P = f (Conscientiousness × Ability): Examining the Facets of Conscientiousness

We posited that the form of the joint effects of motivation and ability in traditional performance models are interactive because motivation triggers the use of energy resources required to deploy ability at work. Moreover, we posited that achievement might best represent motivation compared to five other facets of Conscientiousness or global Conscientiousness. In two samples of customer service representatives, achievement interacted with general mental ability (GMA) in predicting task performance, whereas global Conscientiousness and the other five facets did not. This suggests that researchers examining the motivational aspects of Conscientiousness might uncover a more consistent pattern of results for task performance if they focus on the achievement facet. Furthermore, managers might see the highest levels of task performance in certain contexts when hiring individuals based on both achievement and GMA.     

True Overconfidence in Interval Estimates: Evidence Based on a New Measure of Miscalibration

Overconfidence is often regarded as one of the most prevalent judgment biases. Several studies show that overconfidence can lead to suboptimal decisions of investors, managers, or politicians. Recent research, however, questions whether overconfidence should be regarded as a bias and shows that standard “overconfidence” findings can easily be explained by different degrees of knowledge of agents plus a random error in predictions. We contribute to the current literature and ongoing research by extensively analyzing interval estimates for knowledge questions, for real financial time series, and for artificially generated charts. We thereby suggest a new method to measure overconfidence in interval estimates, which is based on the implied probability mass behind a stated prediction interval. We document overconfidence patterns, which are difficult to reconcile with rationality of agents and which cannot be explained by differences in knowledge as differences in knowledge do not exist in our task. Furthermore, we show that overconfidence measures are reliable in the sense that there exist stable individual differences in the degree of overconfidence in interval estimates, thereby testing an important assumption of behavioral economics and behavioral finance models: stable individual differences in the degree of overconfidence across people. We do this in a “field experiment,” for different levels of expertise of subjects (students on the one hand and professional traders and investment bankers on the other hand), over time, by using different miscalibration metrics, and for tasks that avoid common weaknesses such as a non‐representative selection of trick questions. Copyright © 2012 John Wiley & Sons, Ltd.     

How Bias Reduction Is Affected by Covariate Choice,Unreliability, and Mode of Data Analysis: Results From Two Types of Within-Study Comparisons

This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the three-arm type. To examine unreliability, simulations of differences in reliability are deliberately introduced into the 2 four-arm studies. Results are similar across the samples of studies reviewed with their wide range of non-experimental designs and topic areas. Covariate choice counts most, unreliability next most, and the mode of data analysis hardly matters at all. Unreliability has larger effects the more important a covariate is for bias reduction, but even so the very best covariates measured with a reliability of only .60 still do better than substantively poor covariates that are measured perfectly. Why regression methods do as well as propensity score methods used in several different ways is a mystery still because, in theory, propensity scores would seem to have a distinct advantage in many practical applications, especially those where functional forms are in doubt.