Rape Rumors: The Effects of Reporting or Denying Rumors of Sexual Assaults on Campus1

Two studies examine the effects of reporting rumors of sexual assaults on a college campus. Participants read headlines and short articles about an unfamiliar college. Key headlines and articles reported an increase in sexual assaults as a fact, a rumor, a denied rumor, or a proven falsehood. Participants then rated perceptions of the college, including opinions on the level of crime and safety on campus. Results showed that both reporting the crimes as rumors and reporting denials of the rumors increased concerns compared to control conditions, but these concerns were lower than the concerns raised by reporting the assaults as fact. Findings are in line with predictions and match previous research on rumors and the impact of reported innuendo.     

Antecedents and outcomes of career plateaus: The roles of mentoring others and proactive personality

Although mentoring others and career plateaus are both common experiences for seasoned employees, they are rarely examined together. In this study, we considered mentoring others as an antecedent of career plateaus and emotional exhaustion and turnover intentions as outcomes of career plateaus for mentors. We also examined the moderating role of mentors' proactive personality. Results of hierarchical regression analyses based on 188 mentoring dyads indicated that career-focused mentoring alleviated both hierarchical and job content plateauing perceptions. Mentors' proactive personality moderated the relationship between career-focused mentoring and hierarchical plateauing such that the negative relationship is stronger for low proactive personality mentors. Hierarchical plateaus were positively related to mentors' emotional exhaustion and turnover intentions whereas job content plateaus only positively related to turnover intentions. Proactive personality moderated the relationship between job content plateaus and mentors' work-related attitudes such that the positive relationships were stronger for more proactive mentors. The implications and future research suggestions are discussed.     

Violent offenses associated with co‐occurring substance use and mental health problems: Evidence from CJDATS

The present study examines the relationship between substance use, mental health problems, and violence in a sample of offenders released from prison and referred to substance abuse treatment programs. Data from 34 sites (n = 1,349) in a federally funded cooperative, the Criminal Justice Drug Abuse Treatment Studies (CJDATS), were analyzed. Among parolees referred to substance abuse treatment, self‐reports for the six‐month period before the arrest resulting in their incarceration revealed frequent problems with both substance use and mental health. For most offenders with substance use problems, the quantity of alcohol consumed and the frequency of drug use were associated with a greater probability of self‐reported violence. Mental health problems were not indicative of increases in violent behavior, with the exception of antisocial personality problems, which were associated with violence. The paper emphasizes the importance of providing substance abuse treatment in relation to violent behavior among offenders with mental health problems being discharged to the community. Copyright © 2009 John Wiley & Sons, Ltd.     

Diagnostic Decision Making: Do Counselors Delay Final Judgments?

Although there is a theoretical, empirical rationale warranting the delay of diagnostic decision making, it is unknown whether this debiasing strategy is actually implemented in counseling practice. This study investigated whether counselors delayed their diagnostic decisions in a setting that allowed them the option of doing so. Clinical records were selected from a counselor training center at a large midwestern university and coded for delayed diagnostic decision making. Three pairs of chi‐square analyses were performed. Results indicated that delayed diagnostic decision making occurred to a greater extent than immediate diagnostic decision making across counselor‐client dyads, counselors, and clients.     

Religiosity, Spirituality, and the Subjective Quality of African American Men's Friendships: An Exploratory Study

The present study fills a crucial gap in literature surrounding the lives of African American men by exploring factors that shape the quality of these men's friendships. Drawing on data from a sample of 171 African American men, the study examines the relative utility of subjective religiosity, subjective spirituality, advice exchange, and affective sharing as predictors of the level of perceived support from male and female friends. Findings reveal age differences in subjective religiosity, subjective spirituality, and in level of advice and affective exchange in men's same-sex as well as cross-sex friendships. Age differences emerged in men's perceptions of the supportiveness of their friendships with women but not with men. Age was not a predictor of perceived supportiveness of same-sex or cross-sex friendships. Subjective religiosity did not predict support in same-sex or cross-sex friendships. Subjective spirituality positively predicted perceived support in men's same-sex friendships but not in cross-sex friendships. Implications of these findings are discussed.     

Careers guidance and ethnic minorities in Holland and Britain: Confronting fear and anger

The development of equal opportunities for ethnic minorities through careers guidance is discussed. The provision of careers guidance services in Holland and Britain are described in relation to a model of organisational development. The emotional barriers of fear and anger are discussed in a structural context, both in relation to face-to-face client work, and in relation to service development. The concept of 'career negotiation' is presented to reflect the processes of internal and external dialogue needed to empower clients.     

Ratings of emotion in faces are influenced by the visual field to which stimuli are presented

This experiment was designed to assess the differential impact of initially presenting affective information to the left versus right hemisphere on both the perception of and response to the input. Nineteen right-handed subjects were presented with faces expressing happiness and sadness. Each face was presented twice to each visual field for an 8-sec duration. The electro-oculogram (EOG) was monitored and fed back to subjects to train them to keep their eyes focused on the central fixation point as well as to eliminate trials confounded by eye movement artifact. Following each slide presentation, subjects rated the intensity of the emotional expression depicted in the face and their emotional reaction to the face on a series of 7-point rating scales. Subjects reported perceiving more happiness in response to stimuli initially presented to the left hemisphere (right visual field) compared to presentations of the identical faces to the right hemisphere (left visual field). This effect was predominantly a function of ratings on sad faces. A similar, albeit less robust, effect was found on self-ratings of happiness (the degree to which the face elicited the emotion in the viewer). These data challenge the view that the right hemisphere is uniquely involved in all emotional behavior. The implications of these findings for theories concerning the lateralization of emotional behavior are discussed.     

Personal and Professional Development for Judges: The Institute for Faculty Excellence

This interview study describes the role that participation in the Institute for Faculty Excellence in Judicial Education (IFEJE) played in the personal and professional development of four judges. Judicial education is a relatively new field of adult and continuing professional education. There is limited literature devoted to this area of study outside of the arena of substantive legal or judging topics. Interviews served as the primary data source for this study along with program evaluations, photographs, and e-mail correspondence from Institute participants. The findings revealed that the combined safe environment, challenges, and support participants experienced at the Institute and learning about adult learning helped them: feel less isolated in their work; stretch their normal work boundaries resulting in the completion of projects for which they had great passion; and benefited them as judges, supervisors, teachers, and in other social relationships.     

Do complex models increase prediction of complex behaviours? Predicting driving ability in people with brain disorders

Prediction of complex behavioural tasks via relatively simple modelling techniques, such as logistic regression and discriminant analysis, often has limited success. We hypothesized that to more accurately model complex behaviour, more complex models, such as kernel-based methods, would be needed. To test this hypothesis, we assessed the value of six modelling approaches for predicting driving ability based on performance on computerized sensory-motor and cognitive tests (SMCTests?) in 501 people with brain disorders. The models included three models previously used to predict driving ability (discriminant analysis, DA; binary logistic regression, BLR; and nonlinear causal resource analysis, NCRA) and three kernel methods (support vector machine, SVM; product kernel density, PK; and kernel product density, KP). At the classification level, two kernel methods were substantially more accurate at classifying on-road pass or fail (SVM 99.6%, PK 99.8%) than the other models (DA 76%, BLR 78%, NCRA 74%, KP 81%). However, accuracy decreased substantially for all of the kernel models when cross-validation techniques were used to estimate prediction of on-road pass or fail in an independent referral group (SVM 73-76%, PK 72-73%, KP 71-72%) but decreased only slightly for DA (74-75%) and BLR (75-76%). Cross-validation of NCRA was not possible. In conclusion, while kernel-based models are successful at modelling complex data at a classification level, this is likely to be due to overfitting of the data, which does not lead to an improvement in accuracy in independent data over and above the accuracy of other less complex modelling techniques.