Moral Development: The Association between Maltreatment and Young Children's Prosocial Behaviors and Moral Transgressions

In this investigation, the moral development of physically abused (N = 28), neglected (N = 26), and nonmaltreated (N = 28) five‐year‐old children from low socioeconomic backgrounds was examined through observational measures of prosocial behaviors, moral transgressions, and emotions associated with moral development. Findings showed that physically abused children engaged in more stealing behaviors, whereas neglected children engaged in significantly more cheating behavior and less rule‐compatible behavior compared to nonmaltreated children. In addition, maltreatment status differences interacted with gender on several of the moral paradigms. Physically abused girls displayed significantly less guilt and fewer donation behaviors than neglected girls. The clinical implications for maltreated children's moral development are discussed, and targeted interventions are suggested.     

DISCRIMINATION, BAYESIAN UPDATING OF EMPLOYER BELIEFS, AND HUMAN CAPITAL ACCUMULATION

This article proposes a dynamic labor market discrimination model based on Bayesian updating of beliefs by the employer. The employer forms initial beliefs of worker ability conditional on group and updates his beliefs each period based on observed output. Inaccurate initial priors lead to diminished human capital investment among members of the undervalued group and may generate inequities lasting many periods or even permanently. Statistical discrimination models in which differing variances drive the inequity are special cases of the model.     

MEN, WOMEN, AND PUBLICATION PRODUCTIVITY: PATTERNS AMONG SOCIAL WORK ACADEMICS

This article analyzes how three sets of characteristics—(1) individual attitudes, practices, and academic position; (2) location and professional connections; and (3) marital/family statuses—operate in explaining the publication productivity of men and women in a national sample of social work academics.
We find that: (1) together, the variables explain more variance in women's than men's publication rate; (2) comparing female models to male models, the effect of at itudes and practices are more stable for women; and (3) professional connections and family statuses operate differently for women as compared to men.     

Children's abilities and strategies in managing the facial display of affect

To examine children's ability to control their affective expression facially, 68 second- and fourth-grade boys and girls were unobtrusively videotaped while discussing six self-chosen activities about which they felt positively, neutrally, or negatively. Children then performed three facial management tasks: (a)inhibition (showing no emotion instead of a felt emotion); (b)simulation (showing an emotion when not feeling anything); and (c)masking (showing an emotion that is different than what is felt). Twelve raters judged the edited tapes of the children's performance for affect positivity and deceptiveness. Repeated measures ANOVAs indicated, in contrast to previous research, that children were highly competent in managing facial displays. To understand children's techniques for managing affective displays, two raters categorized the primary cognitive strategies children used. Results showed that fourth graders used more complex strategies more often than second graders. These results highlight children's skill and strategies in affect management.Funding for this project was provided by a NICHHD grant (#HD22367) to the first author. We gratefully acknowledge the assistance of Nancy A. Ballard and Michael G. Rakouskas in data collection and preparation. We also thank the children whose participation and cooperation made this research possible.     

Nonparametric Bayesian Methods for Benchmark Dose Estimation

The article proposes and investigates the performance of two Bayesian nonparametric estimation procedures in the context of benchmark dose estimation in toxicological animal experiments. The methodology is illustrated using several existing animal dose‐response data sets and is compared with traditional parametric methods available in standard benchmark dose estimation software (BMDS), as well as with a published model‐averaging approach and a frequentist nonparametric approach. These comparisons together with simulation studies suggest that the nonparametric methods provide a lot of flexibility in terms of model fit and can be a very useful tool in benchmark dose estimation studies, especially when standard parametric models fail to fit to the data adequately.     

Confronting “Victim” Discourses: The Identity Work of Battered Women

In this article I explore how battered women both draw from and reject victim discourses in their processes of self‐construction and self‐representation. Data gathered from semistructured interviews with forty women who experienced violence from an intimate partner in a heterosexual relationship demonstrate that available “victim” discourses are both enabling and constraining. Four common representations of a victim emerged as most influential to women's identity work: as someone who suffers a harm she cannot control; as someone who deserves sympathy and/or requires some type of action be taken against the victimizer; as someone who is culpable for her experiences; and as someone who is powerless and weak. “Victim empowerment” and “survivor” discourses also played a role in how women understood and made sense of their experiences. In their attempts to construct identities for themselves, battered women become caught between notions of victimization, agency, and responsibility.     

Impact of rater personality on transformational and transactional leadership ratings

This study addresses the role of rater personality in ratings of transformational and transactional leadership. In a naturalistic field study, we found that rater personality (i.e., agreeableness, openness, extraversion, and conscientiousness) was positively associated with ratings of transformational leadership, but significant rater personality effects were not found in an experimental study where leadership behavior was invariant. These results suggest that disagreements among raters about leaders' behaviors are not due solely to random error and may instead reflect true differences either in (a) the behaviors leaders exhibit toward individual followers or (b) personality-related differences between followers in attention to and recall of leadership behaviors. We also found that personality (of subordinates and peers) was not randomly distributed across leaders, though clustering effects were generally small. Practically, our results suggest that (a) individual reports of leadership may be better at predicting leadership outcomes than aggregated group reports – especially those related to individual attitudes and behaviors – though they are rarely used in the literature; (b) aggregation is complicated because rater personality is associated with leadership ratings and is not randomly distributed across leaders; and (c) corrections for measurement error based on inter-rater agreement may not be appropriate due to non-random unique rater variance.