Mixed Messages: Inconsistent Parental Mediation Indirectly Predicts Teens’ Online Relational Aggression

Although the predictors of off-line relational aggression have been examined in prior work, less is known about the factors that contribute to online relational aggression perpetration and victimization. This study examined parental restrictive and active mediation of teenagers’ social media use as potential predictors of these outcomes. We were particularly interested in understanding whether parental agreement about media rules and the consistency with which mediation was implemented had implications for teens’ social media use, conflict with parents, and experience with online relational aggression. We conducted an online survey of 814 adolescents from the United States (14- to17-year-olds), asking about perceived agreement between parents about media rules, parental mediation styles, the teens’ social media use, and their experiences with online relational aggression. Results showed that parental rule agreement negatively predicted inconsistent parental mediation. Inconsistent parental mediation predicted more adolescent social media use and more parent-teen conflict over media rules, which in turn, predicted both online victimization and perpetration.     

A Social Problems Approach to Gerontology in Social Work Education

This paper proposes a social problems emphasis to gerontology in social work education which acknowledges the fact that the elderly are handicapped and discriminated against by social values, attitudes, and practices. The traditional integrative approach has been ineffective in educating and sensitizing students to problems and needs of the aged. The social problems emphasis is discussed as related to future manpower needs, enlightened social workers as citizens, and advocacy for the elderly. A proposal for schools is presented, with implications for practice, fieldwork settings, research, and classroom instruction.     

Job turnover, wage rates, and marital stability: How are they related?

This study examines the interplay between job stability, wage rates, and marital stability. We use a Dynamic Selection Control model in which young men make sequential choices about work and family and estimate the model using an approach that takes account of self-selection, simultaneity and unobserved heterogeneity. The results quantify how job stability affects wage rates, how both affect marital status, and how marital status affects earnings and job stability. The study reveals robust evidence that job changes lower wages and the likelihood of getting married and remaining married. At the same time, marriage raises wage rates and job stability. To project the sequential effects linking job change, marital status, and earnings, we simulate the impacts of shocks that raise preferences for marriage and that increase education. Feedback effects cause the simulated wage gains from marriage to cumulate over time, indicating that long-run marriage wage premiums exceed conventional short-run estimates.     

The Family Dynamics of School Phobics

Summary A casework based method of assessment was devised to examinethe family dynamics of school phobic children. There was significantdifferences found between the family interaction of male andfemale school phobic children. The relationships were dichotomizedalong gender lines, that were broadly oedipal in nature. Thesefindings and methodological problems were discussed     

Bimodality based on the generalized skew-normal distribution

This paper focuses on the development of a new extension of the generalized skew-normal distribution introduced in Gómez et al. [Generalized skew-normal models: properties and inference. Statistics. 2006;40(6):495–505]. To produce the generalization a new parameter is introduced, the signal of which has the flexibility of yielding unimodal as well as bimodal distributions. We study its properties, derive a stochastic representation and state some expressions that facilitate moments derivation. Maximum likelihood is implemented via the EM algorithm which is based on the stochastic representation derived. We show that the Fisher information matrix is singular and discuss ways of getting round this problem. An illustration using real data reveals that the model can capture well special data features such as bimodality and asymmetry.     

Detection of outliers in simple circular regression models using the mean circular error statistic

The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to identify possible outliers in circular regression models by using a row deletion approach. Through intensive simulation studies, the cut-off points of the statistic are obtained and its power of performance investigated. It is found that the performance improves as the concentration parameter of circular residuals becomes larger or the sample size becomes smaller. As an illustration, the statistic is applied to a wind direction data set.