失业劳动力的就业渴望强度影响因素实证分析

本文基于重庆直辖市3000失业劳动力家庭人户调查的微观数据，运用排序选择logit模型估计了失业劳动力的人口统计学特征、人力资本、社会背景和社会政策．以及家庭经济状况等因素对其就业渴望强烈程度的影响。本文的政策含义在于：在健全失业保险的前提下，对失业劳动力适当的取消直接货币补偿而代之以非货币的扶持，可能更有利于刺激失业劳动力积极寻找工作和再就业。     

水电工程移民收入测算模型构建及其应用研究

移民安置的目标已不再仅仅是按照水库蓄水的要求如期将淹没区居民和有关企、事业单位迁出库区，而且还要特别关注移民生产生活水平的恢复与提高。本文在构建水电工程移民收入测算理论模型以及第一手调查数据资料的基础上，建立符合实际经济社会发展状况的西南地区水电工程移民收入的测算模型，研究成果可以在西南地区水电工程移民收入的测算中推广。收入测算的结果也可以为移民政策的调整、改革及完善提供依据。     

论“跨文化交际”课程设计模块化

利用美国学者陈国明先生的跨文化交际能力的模型，结合跨文化课程设计理论和国内研究数据，完成课程概念性的模块化设计，为国内同行提供一个课程设计的新思路。     

The impact of learning opportunities and decision authority on occupational health

In an investigation of 418 employees in the Norwegian Postal Service, employees with high learning opportunities and high decision authority were found to be better off on psychological functioning, health and organizational outcome variables than employees with low scores on these variables. Decision authority and learning opportunities had specific and independent impact on subjective health, psychological functioning, coping style and organizational outcome variables. There were, however, also interaction effects between demands, learning opportunities, and decision authority on subjective health. Learning opportunities and decision authority were operationalized with a questionnaire, supplemented with questions on the opportunities to learn skills beyond the present job situation. It is suggested that this is a particularly important dimension for coping with the present day rapid changes in working life, where the objective for many workers will be to broaden their repertoire and competence to increase their flexibility in the labour market.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

The Conversational Model and Child and Family Counselling: Treating Chronic Complex Trauma in a Systemic Framework

Child and Family Counselling Teams in NSW Community Health Services are expected to provide therapeutic services to children who have experienced complex trauma. However, parental trauma is often overlooked or referred elsewhere. A systemic perspective informed by attachment theory and trauma theory provides the basis for addressing parental trauma in Child and Family Counselling Teams, thereby improving parenting. The Conversational Model is an evidence‐based intervention for chronic complex trauma. The foundations of the Conversational Model and its brief component, Short Term Intensive Psychodynamic Psychotherapy, are outlined and a case study is given to illustrate the usefulness of the intervention in Child and Family Counselling. Highlighted is the importance of addressing systemic trauma through parenting to improve attachment quality, family relationships, and children's function.     

Nonlinear and non-gaussian state estimation: A quasi-optimal estimator

The rejection sampling filter and smoother, proposed by Tanizaki (1996, 1999), Tanizaki and Mariano (1998) and Hiirzeler and Kiinsch (1998), take a lot of time computationally. The Markov chain Monte Carlo smoother, developed by Carlin, Poison and StofFer (1992), Carter and Kohn (1994, 1996) and Geweke and Tanizaki (1999a, 1999b), does not show a good performance depending on noniinearity and nonnormality of the system in the sense of the root mean square error criterion, which reason comes from slow convergence of the Gibbs sampler. Taking into account these problems, we propose the nonlinear and non-Gaussian filter and smoother which have much less computational burden and give us relatively better state estimates, although the proposed estimator does not yield the optimal state estimates in the sense of the minimum mean square error. The proposed filter and smoother are called the quasi-optimal filter and quasi-optimal smoother in this paper. Finally, through some Monte Carlo studies, the quasi-optimal filter and smoother are compared with the rejection sampling procedure and the Markov chain Monte Carlo procedure.     

基于语言规划观的澳大利亚语言政策模型构建及启示

从语言作为问题、语言作为权利、语言作为资源三个角度考察,澳大利亚百年来的语言政策可划分为四个时期,即放任化时期、同化时期、多元化时期和优先化时期。在全面分析影响澳大利亚制定语言政策的基本规划观念的基础上,我们建立了一个基于语言规划观的,能够反映澳大利亚语言政策演变情况的澳大利亚语言政策模型。这个模型对分析中国或其他国家的语言政策也有一定价值。     

免费婚检、孕检的投入产出分析——以广东某区为例

本文从经济学的角度，以投入产出模型和机会成本为理论基础，通过构建以出生缺陷减少为产出收益的免费婚检、孕检投入产出分析模型，并以广东省某区的经验数据进行实证检验，对免费婚检、孕检推行的可行性进行分析。发现推行免费婚孕检的产出与投入的净现值指数为2．08，观显大于1。说明免费婚检、孕检项目可行且效益明显，值得在更大范围内推广。     

Assessing reporting patterns of child sexual abuse within the Catholic Church using discontinuities in model parameter timeseries

Prior to 2002, little was known about sexual abuse within the Catholic Church. After the Boston Globe broke the story about John Geoghan - a priest in the Boston Archdiocese who was accused of abusing numerous children, convicted of one count of indecent assault, and eventually murdered in prison - the Church had many questions to answer. To this end, the United States Conference of Catholic Bishops (USCCB) commissioned John Jay College of Criminal Justice to research the nature and scope, as well as the causes and context of child sexual abuse within the Catholic Church.This research analyzes the data from the John Jay studies using a new quantitative technique, capable of adjusting for distortions introduced by delays in abuse reporting. By isolating discontinuities in model parameter timeseries, we determine changes in reporting patterns occurred during the period 1982-1988. A posteriori to the analysis, we provide some possible explanations for the changes in abuse reporting associated with the change-point. While the scope of this paper is limited to presenting a new methodological approach within the frame of a particular case study, the techniques are more broadly applicable in settings where reporting lag is manifested.