新审查起诉程序实践运行状况研究--以山东省J县为样本

审查起诉是人民检察院实现公诉职能的一项准备工作;是对侦查活动进行法律监督的一项重要手段;是发现和纠正违法行为的必要保障。新审查起诉程序自2013年1月1日起已实施两年多,其实践运行状况基本上得到落实,但仍然存在退回补充侦查使用率偏高、考核制度制约法律有效实施、羁押必要性审查立法缺失、非法证据排除使用率偏低等问题,需要通过进一步完善补充侦查制度、羁押必要性审查制度、非法证据排除规则、提高司法队伍建设等手段进行解决。     

Handling Missing Values in Longitudinal Panel Data With Multiple Imputation

This article offers an applied review of key issues and methods for the analysis of longitudinal panel data in the presence of missing values. The authors consider the unique challenges associated with attrition (survey dropout), incomplete repeated measures, and unknown observations of time. Using simulated data based on 4 waves of the Marital Instability Over the Life Course Study (n = 2,034), they applied a fixed effect regression model and an event‐history analysis with time‐varying covariates. They then compared results for analyses with nonimputed missing data and with imputed data both in long and in wide structures. Imputation produced improved estimates in the event‐history analysis but only modest improvements in the estimates and standard errors of the fixed effects analysis. Factors responsible for differences in the value of imputation are examined, and recommendations for handling missing values in panel data are presented.     

Quality of employment in Latin America: Theory and evidence

Historically, the development literature concerned with Latin American labour markets has focused on job numbers and productivity. But given the persistence of large shares of informal and now otherwise precarious employment, the authors argue that meaningful analysis also requires consideration of the implications of occupational status for the quality of employment. Based on empirical evidence from recent decades, they conclude that most dimensions of this concept – including social protection – depend on the conclusion of a written contract of employment. This finding leads them to outline policy options for stabilizing formal employment and securing adequate funding for social protection.     

Intergenerational Exchanges of Middle‐Aged Adults With Their Parents and Parents‐In‐Law in Korea

The authors investigated patterns of support exchanges between Korean adult children and their parents and parents‐in‐law, gender differences in these patterns, and implications of children's marital quality for exchange patterns. Data were from a nationally representative sample of married adults (N = 920, age 30–59 years) with at least 1 living parent and 1 living parent‐in‐law. Latent class analysis was applied to 12 indicators of exchanges (financial, instrumental, emotional support given to and received from parents and parents‐in‐law). Five classes of exchanges were identified, 3 showing balanced patterns of exchanges with parents and parents‐in‐law across three types of support and 2 classes with unbalanced patterns (e.g., giving instrumental and financial but not emotional support). The findings revealed variability in intergenerational exchange patterns, with a mix of patrilineal traditional and balanced patterns. Significant associations of exchange patterns with adult children's marital quality suggest the importance of balanced exchanges with parents for marriage.     

基于元分析的魅力型领导与组织绩效的关系研究

在对包含12 933个样本量的53篇有效文献进行元分析的基础上,分别对营利性组织和非营利性组织中魅力型领导与个体绩效、团队绩效、组织绩效的关系研究进行定量分析。研究结果表明,魅力型领导与各层面的绩效水平均显著正相关,其中与组织绩效的相关性最高,团队绩效次之,个体绩效最低;魅力型领导的测量方法、区域文化等对魅力型领导和员工绩效之间的关系起到调节作用。此外,对魅力型领导今后的研究进行了展望。     

服务人员互动风格对顾客忠诚的影响研究:关系利益的中介作用

在竞争性环境中,服务人员的有效互动尤其重要.基于此,应用关系营销理论,构建服务人员不同互动风格对顾客忠诚的影响模型,探索不同关系利益在其中的中介作用.以北京某品牌汽车4S店为背景展开调查,运用结构方程模型进行实证研究.研究结果表明,服务人员互动导向型风格既对顾客忠诚产生直接的影响,还通过顾客感知的信任利益和社会利益对其产生间接影响;任务导向型和自我导向型互动风格仅通过顾客感知的信任利益对顾客忠诚产生间接影响.     

Global sensitivity analysis with dependence measures

Global sensitivity analysis with variance-based measures suffers from several theoretical and practical limitations, since they focus only on the variance of the output and handle multivariate variables in a limited way. In this paper, we introduce a new class of sensitivity indices based on dependence measures which overcomes these insufficiencies. Our approach originates from the idea to compare the output distribution with its conditional counterpart when one of the input variables is fixed. We establish that this comparison yields previously proposed indices when it is performed with Csiszár f-divergences, as well as sensitivity indices which are well-known dependence measures between random variables. This leads us to investigate completely new sensitivity indices based on recent state-of-the-art dependence measures, such as distance correlation and the Hilbert–Schmidt independence criterion. We also emphasize the potential of feature selection techniques relying on such dependence measures as alternatives to screening in high dimension.     

Generalized Sobol sensitivity indices for dependent variables: numerical methods

The hierarchically orthogonal functional decomposition of any measurable function η of a random vector X=(X₁,?…?, X_p) consists in decomposing η(X) into a sum of increasing dimension functions depending only on a subvector of X. Even when X₁,?…?, X_p are assumed to be dependent, this decomposition is unique if the components are hierarchically orthogonal. That is, two of the components are orthogonal whenever all the variables involved in one of the summands are a subset of the variables involved in the other. Setting Y=η(X), this decomposition leads to the definition of generalized sensitivity indices able to quantify the uncertainty of Y due to each dependent input in X [Chastaing G, Gamboa F, Prieur C. Generalized Hoeffding–Sobol decomposition for dependent variables – application to sensitivity analysis. Electron J Statist. 2012;6:2420–2448]. In this paper, a numerical method is developed to identify the component functions of the decomposition using the hierarchical orthogonality property. Furthermore, the asymptotic properties of the components estimation is studied, as well as the numerical estimation of the generalized sensitivity indices of a toy model. Lastly, the method is applied to a model arising from a real-world problem.     

The Jackknife estimate of covariance of two Kaplan–Meier integrals with covariables

In this paper the Jackknife estimate of covariance of two Kaplan–Meier integrals with covariates is introduced. Its strong consistency is established under mild conditions. Several applications of the estimator are discussed.