Evidence for the Effectiveness of an Alternative Multisource Performance Rating Methodology

Despite persistent concerns as to the quality of performance information obtained from multisource performance ratings (MSPRs), little research has sought ways to improve the psychometric properties of MSPRs. Borrowing from past methodologies designed to improve performance ratings, we present a new method of presenting items in MSPRs, frame‐of‐reference scales (FORS), and test the efficacy of this method in a field and lab study. The field study used confirmatory factor analysis to compare the FORS to traditional rating scales and revealed that FORS are associated with increased variance due to dimensions, decreased overlap among dimensions, and decreased error. The laboratory study compared rating accuracy associated with FORS relative to frame‐of‐reference training (FORT) and a control group and demonstrated that FORS are associated with higher levels of accuracy than the control group and similar levels of accuracy as FORT. Implications for the design and implementation of FORS are discussed.     

Children's emotional responsiveness and sociomoral understanding and associations with mothers' and fathers' socialization practices

Sixty‐two preschoolers (55% boys) were presented hypothetical dilemmas about moral transgressions. Responses were evaluated in terms of children's emotional responsiveness, prosocial motives, and readiness to intervene. Mothers and fathers reported separately on their use of victim‐oriented inductions, teaching reparations, power assertion, and love withdrawal. Four years later, parents reported on children's behavioral problems, emotion‐regulation ability, and empathy. Mothers reported using more victim‐oriented inductions than did fathers, and girls responded with more personal distress and reported more rule‐oriented motives. Maternal love withdrawal was a positive predictor of empathy and motives of concern. For fathers, teaching reparations were positively related to children's sympathy. Interestingly, mothers' power assertion was negatively related to sympathy at high levels of fathers' power assertion, but not at low levels. Maternal power assertion during the preschool years was negatively associated with children's long‐term empathy scores. School‐age outcomes also were meaningfully predicted by earlier sociomoral competence.     

The effect of dividing attention between walking and auxiliary tasks in people with Parkinson's disease

This controlled study examined the effects of dividing attention between walking and the performance of a secondary cognitive task in people with mild to moderate Parkinson's disease (Hoehn and Yahr stages 2-3.5). Participants in the training group (n=6) received 30 min divided attention training in taking big steps while simultaneously performing serial three subtractions. Participants in the control group (n=6) received no training. Stride length, gait velocity and accurate enumeration rate were measured at baseline, immediate after training and 30 min after training under single-task (walk only or subtract only) and dual-task (walk and subtract) conditions. Data were also collected at training in the training group. Immediate improvement in stride length and gait velocity was found when instruction was given to participants to pay equal attention to gait and subtractions (p=0.001, p=0.05) compared to baseline. Short-term improvement in the gait variables was also found after training when compared to the controls (p=0.001, p=0.001). Nevertheless, there was no significant difference in the accurate enumeration rate. Based on the findings, we conclude that divided attention can be used as a strategy to improve slow and short-stepped gait under dual-task conditions. Divided attention can also be used in gait training for short term stride length and gait velocity improvement.     

Intimate Violence Against Women: Trajectories for Pastoral Care in a New Millennium

This article reviews progress made in the theory and practice of pastoral care and counseling with regard to the issue of intimate violence against women since the 1970’s. It includes a comprehensive survey of sociological, psychological, and pastoral literature, and a summary of research on teaching about domestic violence in mainline Protestant seminaries. Social and theological themes, including gender, power, and social and political context, and the challenges of justice-making are traced historically. The article concludes with new recommendations for churches, pastoral caregivers, counselors, and theologians.     

Attitudes About Internet Support Groups Among Adolescents and Young Adults with Neurofibromatosis Type 1 and their Parents

Youth with neurofibromatosis type 1 (NF1) have multiple, complex symptoms associated with physical, social-emotional, and cognitive difficulties. In addition, caring for a child with NF1 can be extremely challenging for parents. Since research with other chronic illness populations suggests that social support, including internet support groups (ISGs), can be beneficial, this survey study aimed to determine the attitudes and preferences of adolescents and young adults with NF1 and parents of a child with NF1 regarding ISGs. Thirty patients and 30 caregivers completed a 24-item survey about ISGs. Many patients and parents are not aware of any ISGs for NF1, but are interested in using one in the future for a variety of reasons, including to get answers to their questions about NF1, to find out about research studies, and to discuss problems and concerns about NF1. Specific concerns of interest include physical, social-emotional, and cognitive aspects of NF1. ISGs have potential as a social support intervention within the NF1 community. ISGs for the NF1 population should include patients with NF1 (or parents of children with NF1) as well as a health professional, and both chat rooms and discussion boards likely would be well-received.     

Detecting Clusters/Communities in Social Networks

Cohen's κ, a similarity measure for categorical data, has since been applied to problems in the data mining field such as cluster analysis and network link prediction. In this paper, a new application is examined: community detection in networks. A new algorithm is proposed that uses Cohen's κ as a similarity measure for each pair of nodes; subsequently, the κ values are then clustered to detect the communities. This paper defines and tests this method on a variety of simulated and real networks. The results are compared with those from eight other community detection algorithms. Results show this new algorithm is consistently among the top performers in classifying data points both on simulated and real networks. Additionally, this is one of the broadest comparative simulations for comparing community detection algorithms to date.