Dating violence: mental health consequences based on type of abuse

This study aims to determine the relationship between psychological, physical, and sexual abuse, and mental health symptoms. Female college students (N = 499) completed anonymous online surveys to report experiences of abuse, as well as symptoms of depression, posttraumatic stress disorder (PTSD), and physical injuries. Five groups of participants were found: no abuse; psychological abuse; physical abuse; psychological and physical abuse; and psychological, physical, and sexual abuse. The multiple abuse groups showed the highest rate of mental health symptoms. In addition, increased frequency of abuse was related to more mental health symptoms and more physical injuries.     

The effects of domestic violence during pregnancy on maternal and infant health

The present study examined the impact of domestic violence on maternal and infant health by assessing maternal health during pregnancy and infant health at two months postpartum. Two hundred and two women (68 battered and 134 non-battered) were recruited from the community and completed both pregnancy and 2-month postpartum interviews. Results revealed that domestic violence during pregnancy was associated with numerous health problems for mothers and infants including more health problems during pregnancy, more likelihood of premature labor, later entrance into prenatal care, lower infant birth weight, greater utilization of health care resources, and more prenatal substance use. After income was controlled, the relationship between violence and timing of prenatal care and infant birth weight became nonsignificant. Maternal social support was found to protect against the effects of violence for several health outcomes. The current findings suggest the need for domestic violence screening during pregnancy, as well as clinical interventions for battered, pregnant women in order to prevent serious physical and emotional problems for both mothers and their infants.     

The evolution and problems of model management research

Models are a key resource for organizational decision making. The diversity, complexity, and reusability of this resource result in the need for model management systems. The construction of a model management system involves a modeling task dimension and a design level dimension. The modeling task dimension consists of model formulation, model representation, and model processing. The design level dimension addresses the architectural requirements of a system from a user's standpoint and a computer system's standpoint.The numerous architectures suggested in the model management systems literature address isolated areas identified by these dimensions. The research surveyed in this paper indicates that the primary focus has been on the system view of model representation. Before model management systems can be widely used in organizations, model management researchers must explore systems that address all areas of the task and design level dimensions.In this paper, we identify and justify the necessary dimensions of model management research. Next, the existing model management research is critically reviewed. Finally, neglected research areas are discussed, and investigations necessary for the development of integrated model management systems are suggested.     

Validation of the subtle and overt psychological abuse scale: an examination of construct validity

The Subtle and Overt Scale of Psychological Abuse (Marshall, 1999a) is a measure designed to examine previously unevaluated forms of psychological abuse. The scale was originally divided into seven subscales (overt: dominance, indifference, monitoring and discrediting; subtle: undermining, discounting, isolating). A sample of 172 women was used to evaluate the construct validity of this measure. In other words, the internal structure of the measure, its relation to other measures of physical and psychological abuse, and its relationship to other psychological outcomes. Empirical and theoretical approaches were used to replicate and examine the dimensions of this scale. Results revealed that this scale represents a unidimensional construct that is highly correlated to other measures of psychological abuse. Implications for future research and practice are discussed.     

Diagnostic bias in organizational consultation

This article is intended to improve consultation practice by explaining the significance of models, heuristics, and diagnostic aids in organizational diagnosis. The role of diagnostic models in determining the consultant's frame of reference is explained. Evidence that organizational consultants consciously use diagnostic models is provided by citing two independent studies that revealed about 70% of the consultants reported that a diagnostic model was used. The availability, representativeness, and anchoring heuristics used by diagnosticians are summarized and examples of their use are cited. Readers are warned that bias occurs from misapplying the heuristics. However, guidance on correctly applying the heuristics is provided. The development and improvement of diagnostic expertise is explained from the perspective of learning through education as well as feedback received from clients, colleagues (as shadow consultants and as consulting team members), and self. Thus, written from the perspective of a consultant, the article provides a practical presentation on diagnostic bias, supported by theory and empirical research. It should appeal not only to a consulting constituency (i.e. practicing consultants, consultant trainers, and novice consultants), but also to the large number of potential clients (i.e. organizational decision-makers). Future research directions are discussed in terms of (1) the research that has identified relationships between consultant characteristics (e.g. Jungian constructs) and diagnostic information, and (2) the potential of expert systems in organizational diagnosis.