Child Safety in Australian Family Law: Responsibilities and Challenges for Social Science Experts in Domestic Violence Cases

Understanding the potentially adverse effects of exposure to domestic violence on children is increasing in the Western world. However, in Australian family law, there remain challenges in centralising the special needs of these children in cases before the family courts in the determination of their best interests. This article draws on some key findings of a small qualitative study to highlight and discuss some of the barriers that need to be overcome in order for social science experts to enhance the courts' capacity to protect child subjects of proceedings from possible future harm.     

青少年个性特征、最要好同伴吸烟行为与青少年吸烟行为的关系

本研究旨在探讨最要好同伴吸烟、青少年个性特征与青少年吸烟行为的关系.对北京市一所普通中学和一所重点中学的1042名初一至高三学生进行问卷调查,让被试自我报告他们和最要好同伴的吸烟行为,以及他们的个性特点.结果表明:(1)吸烟和不吸烟的青少年在遵从动机、自我效能感上存在着显著的差异.与不吸烟青少年相比,吸烟的青少年表现出更高的遵从动机和更低的自我效能感;(2)青少年的遵从动机、自我效能感与最要好同伴吸烟行为间存在显著关系.遵从动机高、自我效能感低的青少年,其最要好同伴吸烟率要显著地高于遵从动机低、自我效能感高的青少年;(3)最要好同伴吸烟行为与青少年吸烟行为间存在极其显著的相关;(4)最要好同伴吸烟行为既对青少年吸烟行为产生直接作用,又通过自我效能感、遵从动机对青少年吸烟行为产生间接影响.但最要好同伴吸烟行为对青少年吸烟行为的直接作用要大于间接作用.     

Multilevel Model Prediction

Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response outcomes—and provides a unified procedure for predicting them. These predictors are best linear unbiased and are commonly known via the acronym BLUP; they are optimal in the sense of minimizing mean square error and are Bayesian under a diffuse prior. For parameter estimation purposes, a multilevel model can be written as a linear mixed-effects model. In this way, parameters of the many equations can be estimated simultaneously and hence efficiently. For prediction purposes, we show that it is more convenient to retain the multiple equation feature of multilevel models. In this way, the efficient BLUPs are easy to compute and retain their intuitively appealing recursive form. We also derive explicit equations for standard errors of these different types of predictors. Prediction in multilevel modeling is important in a wide range of applications. To demonstrate the applicability of our results, this paper discusses prediction in the context of a study of school effectiveness. This research was supported by a grant from the Graduate School at the University of Wisconsin at Madision and the National Science Foundation, Grant number SES-0436274. We are grateful to Norman Webb at Wisconsin Center for Education Research for making available the data used in the reported application.     

Transition from School to Adult Life: Empowering Youth Through Community Ownership and Accountability

The evolution of transition services for youth with disabilities illustrates the transformation that has occurred from a systems-driven to a youth-centered support approach. This article documents how this shift has occurred. We review research that has influenced the direction of national policies and practices. A chronology of the policies that best represent the seminal foundation for current transition best practices for youth with emotional disturbance (ED) is presented. The field of special education led the way toward articulating the new vision for providing transition support by defining services as the coordination of multiple systems to address life domains (e.g., post-secondary education, employment, independent living, and community adjustment). Promising practices, within the context of the conversion to an ecological model of support that contributes to youth self-determination, include utilization of a youth-centered, strengths-based approach to transition planning, beginning in the middle school years. There remain significant barriers to adoption of the practices that may best support the successful transition of youth. These include lack of coordinated efforts across systems, socioeconomic, and community factors. Committed actions by government, the business sector, and private citizens are essential to address these challenges.     

Naturalness constraints on best systems accounts of laws

According to best systems accounts, laws of nature are generalizations in the best systematization of particular matters of fact. Metrics such as simplicity and strength determine which systematization is best, but these are notoriously language relative. For this reason, David Lewis proposed a constraint on languages of inquiry: all predicates must be natural. This constraint is sometimes interpreted as requiring us to know which natural properties are instantiated in our world prior to scientific theorizing. I argue that this interpretation is incorrect. I provide a better interpretation and show how it undercuts an influential epistemological objection to Lewis's best systems account of laws due to Bas van Fraassen.     

Effect of four aspects of rational statements on expected satisfaction with a close relationship

This study tested whether each of the four main aspects of rational thinking decreased expected relationship dissatisfaction when imagining having a serious disagreement with either a romantic partner or closest friend. The four features, common to cognitive theories of therapy, were the tendency not to exaggerate negative effects, not to demand that one's wishes should always be met, not to globally rate individuals or relationships and not to over-generalise that these experiences always have happened or will happen. Only when combined together did the four aspects significantly decrease expected relationship dissatisfaction in comparison to a control condition in which a serious disagreement was simply reiterated. This combined condition also significantly decreased the irrational tendency to agree that disagreements are destructive.     

Cross-Sectional and Longitudinal Relations Among Children's Trust Beliefs,Psychological Maladjustment and Social Relationships: Are Very High as Well as Very Low Trusting Children at Risk?

Four hundred and thirty-four children enrolled in school years 5 and 6 in the United Kingdom were administered measures of trust beliefs in peers/best friends and psychosocial functioning (internalized maladjustment, self-perceived social acceptance, social preference, and social exclusion) across an 8-month period (mean age = 9 years − 9 months at Time 1). The relation between children's trust beliefs in peers or trust beliefs within best friend dyads and measures of psychosocial functioning conformed to a quadratic pattern. Compared to children in the middle range of trust beliefs, children with very low trust beliefs and those with very high trust beliefs in peers and/or within best friend dyads displayed higher internalized maladjustment, lower self-perceived social acceptance, higher social exclusion, and lower social preference. The relation between the trust beliefs and internalized maladjustment was asymmetrical, with children who held very low trust beliefs being comparatively more disadvantaged.     

Parental refusals of medical treatment: the harm principle as threshold for state intervention

Minors are generally considered incompetent to provide legally binding decisions regarding their health care, and parents or guardians are empowered to make those decisions on their behalf. Parental authority is not absolute, however, and when a parent acts contrary to the best interests of a child, the state may intervene. The best interests standard is the threshold most frequently employed in challenging a parent's refusal to provide consent for a child's medical care. In this paper, I will argue that the best interest standard provides insufficient guidance for decision-making regarding children and does not reflect the actual standard used by medical providers and courts. Rather, I will suggest that the Harm Principle provides a more appropriate threshold for state intervention than the Best Interest standard. Finally, I will suggest a series of criteria that can be used in deciding whether the state should intervene in a parent's decision to refuse medical care on behalf of a child.     

Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel test

We give an account of Classical Test Theory (CTT) in terms of the more fundamental ideas of Item Response Theory (IRT). This approach views classical test theory as a very general version of IRT, and the commonly used IRT models as detailed elaborations of CTT for special purposes. We then use this approach to CTT to derive some general results regarding the prediction of the true-score of a test from an observed score on that test as well from an observed score on a different test. This leads us to a new view of linking tests that were not developed to be linked to each other. In addition we propose true-score prediction analogues of the Dorans and Holland measures of the population sensitivity of test linking functions. We illustrate the accuracy of the first-order theory using simulated data from the Rasch model, and illustrate the effect of population differences using a set of real data.This research is collaborative in every respect and the order of authorship is alphabetical. It was begun when both authors were on the faculty of the Graduate School of Education at the University of California, Berkeley.We would like to thank both Neil Dorans, Skip Livingston and two anonymous referees for many suggestions that have greatly improved this paper.