Children in foster care: factors influencing outpatient mental health service use

OBJECTIVE: To determine factors influencing outpatient mental health service use by children in foster care. METHOD: Detailed survey and administrative data were collected on 480 children who entered long-term foster care in San Diego County from May 1990 through October 1991. These data were linked with claims data from Medicaid and San Diego County Mental Health Services information systems. A Poisson regression model was used to determine whether the following factors influenced outpatient mental health service use: age, race/ethnicity, gender, maltreatment history, placement pattern, and behavioral problems as measured by the Achenbach Child Behavior Checklist (CBCL). RESULTS: Except for maltreatment history, all independent variables included in the multivariate regression model were statistically significant. The total number of outpatient mental health visits increased with age, male gender, and non-relative foster placements. Relative to Caucasians, visits were lower for Latinos, and Asian/Others, but comparable for African-Americans. Concerning maltreatment history, differences were only found in one category; children experiencing caretaker absence received fewer visits compared to children who did not experience caretaker absence. Children with CBCL Total Problem Scale T-scores of 60 or greater had significantly more visits than those with a score less than 60. CONCLUSIONS: Both clinical and non-clinical factors influence outpatient mental health service use by foster children. Limitations imposed by gender, race/ethnicity, and placement setting need to be addressed by child welfare policies. These finding suggest that guidelines are needed to systematically link children in foster care with behavioral problems to appropriate services.     

Relations among Epistemological Beliefs,Academic Achievement,and Task Performance in Secondary School Students

Students with differing profiles of epistemological beliefs—their beliefs about personal epistemology, intelligence, and learning—vary in thinking, reasoning, motivation, and use of strategies while working on academic tasks, each of which affect learning. This study examined students’ epistemological beliefs according to gender, school orientation, overall academic achievement, and performance on two differently structured academic tasks. Epistemological beliefs in fixed and quick ability to learn, simple knowledge, and certain knowledge differed significantly as a function of gender, school orientation, and levels of academic achievement. These beliefs, particularly the belief in simple knowledge, significantly predicted overall performance and reflective judgment scores on the ill‐structured task but not on the well‐structured task. Implications concerning the relations among epistemological beliefs, reflective judgment, gender, school orientation, task structure, and achievement are discussed.     

A step function in pigeons’ temporal generalization in the peak shift task

Pigeons were reinforced for pecking a key following one signal duration (S+) but not following another signal duration (S?). The S+ and S? were 2.52 and 5.67 sec, respectively, counterbalanced across birds. Subsequent generalization tests with a range of signal durations revealed a step function, with high response rates for all durations on the S+ side of the distribution, low response rates for all durations on the S? side, and an intermediate rate for the intermediate duration. A comparison group of pigeons trained with only the S+ duration showed a flat generalization function. For the discrimination-trained birds, the delay between signal termination and opportunity to respond was subsequently varied during generalization testing. A step function again appeared, and no evidence of subjective shortening over the delay was found. The overall pattern of results suggests that the birds categorized the temporal signal into two classes and retained a categorical code over the delay.     

Distances and directions are computed separately by honeybees in landmark-based search

Honeybees were trained with two landmarks at some angle (e.g., 120°) apart from the target. On crucial unrewarded tests, only a single landmark was present. If distances and directions to landmarks are computed separately (independent averaging), the search distance to the landmark should equal the landmark-target distance found in training. If entire vectors are averaged, the search distance should be much shorter. Three experiments with short target-landmark distances showed results in between the predictions of the two hypotheses. A fourth experiment used longer target-landmark distances and isolated double peaks on single-landmark tests: one predicted by the independent averaging hypothesis, and one very close to the landmark. The near peak is interpreted as arising from approach and exploration of a landmark in a new location, and not from searching.     

The Unification of Post-Compulsory Education: Towards a Conceptual Framework

The drive to 'unify'post-compulsory education and training systems is one of the most important current developments in education policy. However the concept of 'unification' lacks clarity, is not widely recognised, and is pursued through different measures in different countries. In this paper we propose a conceptual framework with which to analyse the different meanings of and debates about unification. Using England and Scotland as examples, we show how the framework may be used to analyse existing systems, reform strategies, and processes and pressures for change. The framework is exploratory and will need to be tested and developed in relation to a wider variety of education systems.     

A More Flexible Bayesian Multilevel Bifactor Item Response Theory Model

Multilevel bifactor item response theory (IRT) models are commonly used to account for features of the data that are related to the sampling and measurement processes used to gather those data. These models conventionally make assumptions about the portions of the data structure that represent these features. Unfortunately, when data violate these models' assumptions but these models are used anyway, incorrect conclusions about the cluster effects could be made and potentially relevant dimensions could go undetected. To address the limitations of these conventional models, a more flexible multilevel bifactor IRT model that does not make these assumptions is presented, and this model is based on the generalized partial credit model. Details of a simulation study demonstrating this model outperforming competing models and showing the consequences of using conventional multilevel bifactor IRT models to analyze data that violate these models' assumptions are reported. Additionally, the model's usefulness is illustrated through the analysis of the Program for International Student Assessment data related to interest in science.     

终极娱乐——给魔术师和心灵魔术师的导演笔记（节选）

第二章神秘娱乐的层次关系 从我们的这边看出去,我们带给观众的表演是魔术效果（effect）。而从观众的角度来看呢,我们的演出可分成三种不同的感受：