Risk and Ideology in Sexual Harassment

One explanation of sexual harassment is that it is the result of differences in organizational or individual authority between harasser and victim. A competing conceptualization suggests that much of what is termed sexual harassment is the result of a particular definition of the situation by women possessing nontraditional or feminist gender-role ideologies. Using a sample of university faculty, students and staff, this study examines the relationship among organizational position, demographic risk factors, and gender-role ideology on the self-reported incidence of sexual harassment. The findings show little relation exists between the various risk factors and the report of harassment in this sample.     

The Queen and Her Consort: Implications for the Development of the Female Offspring

The psychic problem of having a narcissistic mother has been developed in the literature. Little attention has been given to the additional problems presented when the father of the female child operates in tandem with the narcissistic mother further exacerbating the psychic damage to the female offspring.     

Ecological Bias: Use of Maximum-Entropy Approximations

The focus of geographical studies in epidemiology has recently moved towards looking for effects of exposures based on data taken at local levels of aggregation (i.e. small areas). This paper investigates how regression coefficients measuring covariate effects at the point level are modified under aggregation. Changing the level of aggregation can lead to completely different conclusions about exposure–effect relationships, a phenomenon often referred to as ecological bias. With partial knowledge of the within‐area distribution of the exposure variable, the notion of maximum entropy can be used to approximate that part of the distribution that is unknown. From the approximation, an expression for the ecological bias is obtained; simulations and an example show that the maximum‐entropy approximation is often better than other commonly used approximations.     

The use of theory in applied sociology: The case of community mental health

Despite the rapid growth of applied sociology as a recognized subdiscipline in American sociology, very little attention has been focused on the use of traditional theory in applied settings. The author traces consensual and conflictual approaches to the concept of community in the applied literature of the community mental health movement and relates them to political economic phases of the movement. The analysis suggests that varying forms of consensual theory dominated the early years of the movement, that conflict theory emerged during the middle years, and that consensual theory again reasserted its dominance in the late years of the movement. It is concluded that applied theory is importantly limited and directed by the political and economic interests that influence the environment in which that theory is produced and employed. Sylvia kenig is a medical sociologist who directs her own consulting firm, which specializes in evaluation of nonprofit health and welfare agencies.     

Distance and Intergenerational Ties of Farm Families1

The purpose of this paper is the analysis of the interactional patterns of Wisconsin farm couples with their parents. Step-wise multiple regression analysis provides a technique to solve a sequence of one or more multiple linear models by step-wise application of the least sum-of-squares method. The predictor variables used in this analysis include: distance, husband's age, stage in the family life-cycle, husband's education, wife's education, gross farm income, agricultural training of the husband, productive-man-work-units, and level of living. The results showed that distance is an important factor in the interaction between generations in rural areas.     

Predictors of Continued Conflict After Divorce or Separation: Evidence From a High-Conflict Group Treatment Program

High-conflict divorces appear to be different than other divorces due to the magnitude of ongoing hostile interactions and court involvement. This study assessed whether agreement, communication, and the beliefs that co-parents held regarding child welfare contributed toward conflict of divorced or separated co-parents. Results suggest that co-parents' communication and ability to agree with each other differed significantly based on the number of times they returned to court. Co-parents' agreement and their beliefs regarding child welfare predicted their perceived relationship quality. The findings indicate that these factors would likely be useful to address in treatment practices.     

Adoption as a Diversity Issue in Professional Preparation: Perceptions of Preservice Education Professionals

This research explored preservice teachers' and counselors' perceptions of the needs of adopted children in schools. Using a quasi-experimental survey design, this study examined the views of preservice teachers and counselors toward adoptive families before and after an educational intervention. Findings from this research support the effectiveness of a brief, standardized intervention in increasing preservice education professionals' awareness of particular challenges adopted children and their families may face in school settings. Qualitative data indicated preservice education professionals' awareness of adopted children and their families in their internship experiences. Learning about adoptive families can be part of sensitizing education professionals' to the growing diversity of families and children in U.S. schools.     

Valuing high technology growth firms

For the valuation of fast growing innovative firms Schwartz and Moon (Financ Anal J 56:62–75, 2000), (Financ Rev 36:7–26, 2001) develop a fundamental valuation model where key parameters follow stochastic processes. While prior research shows promising potential for this model, it has never been tested on a large scale dataset. Thus, guided by economic theory, this paper is the first to design a large-scale applicable implementation on around 30,000 technology firm quarter observations from 1992 to 2009 for the US to assess this model. Evaluating the feasibility and performance of the Schwartz-Moon model reveals that it is comparably accurate to the traditional sales multiple with key advantages in valuing small and non-listed firms. Most importantly, however, the model is able to indicate severe market over- or undervaluation from a fundamental perspective. We demonstrate that a trading strategy based on our implementation has significant investment value. Consequently, the model seems suitable for detecting misvaluations as the dot-com bubble.