The Role of Evaluator-Victim Relationships in Children's Evaluations of Peer Provocation

Second-, third-, fifth-, and sixth- grade children evaluated two hypothetical target peers in three provocation scenarios which differed as to the intent of a provocative act (Ambiguous, Accidental, Hostile). In addition to age and gender, evaluator-victim relationship was manipulated with children portrayed as being in a best friend, an acquaintance, or an enemy relationship with the victim, while the agent of the provocation was an unfamiliar peer. Evaluations were assessed in terms of attributions of aggressor's intentions, behavior response of the victim, evaluator's liking for victim, and evaluator's affect. Results indicated that older children evaluated aggressor's intentions and victim's behavior response more negatively than did younger children. Further, attributions of aggressor's intent significantly predicted the victim's subsequent behavioral response. Evaluator's affect was reported to be more negative when evaluating hostile provocation compared to accidental or ambiguous provocation and evaluators in acquaintance and enemy relationships with the victim reported liking the victim more after the provocation than before it occurred. Results are discussed in terms of the social relational and social situational influences on children's evaluations of peer interactions and the need to integrate these contextual factors in children's person perception research.     

Estimation of tobit-type models with individual specific effects

The aim of this paper is two-fold. First, we review recent estimators for censored regression and sample selection panel data models with unobservable individual specific effects, and show how the idea behind these estimators can be used to construct estimators for a variety of other Tobit-type models. The estimators presented in this paper are semiparametric, in the sense that they do not require the parametrization of the distribution of the unobservables. The second aim of the paper is to introduce a new class of estimators for the censored regression model. The advantage of the new estimators is that they can be applied under a stationarity assumption on the transitory error terms, which is weaker than the exchangeability assumption that is usually made in this literature. A similar generalization does not seem feasible for the estimators of the other models that are considered.     

Comparison between the rates of convergence of extremes under linear and under power normalization

By using the theory of the second-order regular variation, we study the rates of the weak convergence of the maximum order statistics under power normalization. The exact rates are obtained in the uniform metric and the total variation metric. The relationship between the rates of convergence under linear and under power normalization is derived. Some illustrative examples are given for comparing the rates of convergence.     

Gender Differences in Personal Income and Financial Risk Tolerance: How Much of a Connection?

Prior research indicates that relative to men, women generally have lower incomes and typically are more risk averse. In a sample of the clientele of financial planners, men had higher personal incomes and exhibited greater financial risk tolerance, which is consistent with previous studies. The authors' objective was to determine how much of the gender difference in income could be explained by risk tolerance. Results indicate that risk tolerance can explain some of the variation in earnings between women and men but that it is not a primary reason for the wage gap.     

The Impact of Abuse History and Trauma Symptoms on Successful Completion of a Prostitution-exiting Program

This study examines the trauma symptoms and life experiences of 49 women in a residential prostitution-exiting program and identifies differences among women who complete 90 days of the program and women who drop out of the program prior to completing 90 days. The majority of the women reported childhood abuse, adult abusive relationships, and victimization. Women who completed 90 days of treatment were found to be older than the non-completers. Non-completers were more likely to report clinically significant trauma symptoms including dissociation, poor coping behaviors, sex-related issues, and dysfunctional sexual behavior than completers. These findings suggest the importance of incorporating trauma-focused intervention early in the services provided in the exiting programs as well as the need to address the traumatic symptoms related to childhood and adult trauma histories. Findings also indicate the importance of clinically addressing trauma-related sexual issues, concerns, and behavior.     

Alternative Medicine and Herbal Use Among University Students

Abstract

Objective: This study sought to (1) examine perceived stress and resources to cope with stress as predictors of emotional eating during the transition to college and (2) determine whether body mass index (BMI) moderated the emotional eating-stress relationship. Participants: Participants were 97 college freshmen (73% female; BMI: M = 25.3 kg/m², SD = 5.7 kg/m²). Research was conducted in September 2012. Methods: Participants completed the Perceived Stress Scale, Emotional Eating Scale, and Eating and Appraisal Due to Emotions and Stress Questionnaire during the first month of college. Height and weight were measured objectively. Results: BMI moderated the relationship between perceived stress and emotional eating. Higher stress predicted greater emotional eating for the lower BMI groups, but not the highest group. Greater resources to cope with stress predicted lower emotional eating. Conclusions: Greater perceived stress and poorer resources to cope with stress may contribute to emotional eating during the transition to college. The relationship between perceived stress and emotional eating may vary by BMI.     

New developments in generative BOM processing systems

Abstract

The principle of generative bill-of-material (BOM) processing systems is that different BOMs belonging to different product variants can be represented by a single, so-called source BOM. The BOM processing systems comprise additional data structures which hold information on the relationships between product characteristics of parent product variants and component product variants, and on the relationships between characteristics of a parent product variant and its BOM data. These relationships allow the automatic generation of the individual BOM of each represented product variant. There are several alternative ways of implementing a generative BOM processing system. The oldest concept known is the variant BOM concept. This concept provides a relatively simple solution to deal with large varieties of final product variants. However the concept has a number of drawbacks such as the representation of product variety at lower levels in the product structure and data redundancy which hampers data maintenance. In this paper an improved concept for generative BOM processing systems is introduced and described: the generic BOM concept. The generic BOM concept does not focus on representing final product variants only, but takes a broader view towards representing any range of product variants at any level in the product structure. This starting point solves a number of draw-backs implied by the variant BOM concept but it also requires new definitions of BOM relationships and the introduction of new data structures to support the generation of individual BOMs.     

Estimating treatment effects on the marginal recurrent event mean in the presence of a terminating event

In biomedical studies where the event of interest is recurrent (e.g., hospitalization), it is often the case that the recurrent event sequence is subject to being stopped by a terminating event (e.g., death). In comparing treatment options, the marginal recurrent event mean is frequently of interest. One major complication in the recurrent/terminal event setting is that censoring times are not known for subjects observed to die, which renders standard risk set based methods of estimation inapplicable. We propose two semiparametric methods for estimating the difference or ratio of treatment-specific marginal mean numbers of events. The first method involves imputing unobserved censoring times, while the second methods uses inverse probability of censoring weighting. In each case, imbalances in the treatment-specific covariate distributions are adjusted out through inverse probability of treatment weighting. After the imputation and/or weighting, the treatment-specific means (then their difference or ratio) are estimated nonparametrically. Large-sample properties are derived for each of the proposed estimators, with finite sample properties assessed through simulation. The proposed methods are applied to kidney transplant data.