Caregiver Emotional Expressiveness,Child Emotion Regulation,and Child Behavior Problems among Head Start Families

The present study examined the relationships between caregivers' self‐reported positive and negative emotional expressiveness, observer assessments of children's emotion regulation, and teachers' reports of children's internalizing and externalizing behaviors in a sample of 97 primarily African American and Hispanic Head Start families. Results indicated that higher caregiver negativity and lower child emotion regulation independently predicted more internalizing behavior problems in children. Additionally, children's externalizing behavior problems were negatively predicted by caregivers' self‐reports of positive emotional expressiveness. Importantly, results also suggested that caregivers' emotional expressiveness and children's behavioral problems may be non‐linearly related, and that child gender may play an important moderating role. These results emphasize the importance of family emotional climate and child emotion regulation in the behavioral development of preschool‐age children, and highlight the need for improved theoretical and practical understanding of socioemotional development in diverse populations.     

《后典丽赋》的编选与传播考论

南宋进士试赋制度较北宋更为长期稳固,与此相关的律赋集的编选在南宋也极为兴盛,然今天大多佚没无闻。《后典丽赋》是南宋律赋选集中较有代表性的一部,乃婺学唐氏学派代表唐仲友所编选。该书选文详今而略古,体现出鲜明的趋时特征。此外,该书刊刻所涉及的贪墨行为,凸现了律赋集编选的牟利动机,因而在选文质量上难与北宋律赋集相比。在这样的律赋范本的指导下,宜乎南宋律赋日渐走向没落。     

Acceleration of the Multiple-Try Metropolis algorithm using antithetic and stratified sampling

The Multiple-Try Metropolis is a recent extension of the Metropolis algorithm in which the next state of the chain is selected among a set of proposals. We propose a modification of the Multiple-Try Metropolis algorithm which allows for the use of correlated proposals, particularly antithetic and stratified proposals. The method is particularly useful for random walk Metropolis in high dimensional spaces and can be used easily when the proposal distribution is Gaussian. We explore the use of quasi Monte Carlo (QMC) methods to generate highly stratified samples. A series of examples is presented to evaluate the potential of the method.     

Will to love,will to fear: the emotional politics of illegality and citizenship in the campaign against birthright citizenship in the US

Anti-immigration activists argue that the broad inclusivity of the birthright citizenship clause of the 14th Amendment is a national security concern that enables criminalized migrant mothers to give birth to citizens who can later harm the US through violence and resource consumption. Seeing this argument as representative of the problem of inclusivity inherent to citizenship in a liberal democracy, this essay asks how the children of undocumented and temporary migrants are constructed as what Mae Ngai calls ‘alien citizens.’ Drawing from Sara Ahmed's affective economy of emotion, I find that affect and emotion figure prominently in how citizens are made ‘alien.’ Specifically love and fear function as pivot points in the anti-birthright citizenship argument, wherein the ‘real citizen’ is ‘willed’ to love and be loved by the nation and to fear the nation's Others. Moreover, the emphasis on national feelings does not evacuate white supremacy or heteronormativity from its imagination of citizenship, but instead displaces these loci of power into feeling and affect. Thus, this essay claims that the birthright citizenship argument illustrates how national love and fear work in tandem to uphold, naturalize, and expand the racial and sexual exclusions inherent to citizenship in a nation-state.     

组织支持、组织文化认同和情绪工作作用机制研究

以服务行业工作人员为研究对象,通过实证分析对组织支持、组织文化认同和情绪工作间的作用机制进行研究。结果表明：同事支持、上级支持和企业支持对表层行为有显著负向影响,上级支持和企业支持对深层行为有显著正向影响;组织文化认同的行为性认同维度对表层行为有抑制作用,认知性认同、情感性认同和行为性认同则能有效激发员工的深层行为;组织支持通过组织文化认同的部分中介作用对表层行为和深层行为产生影响。     

On selecting the best population

This paper deals with the problem of selecting the “best” population from a given number of populations in a decision theoretic framework. The class of selection rules considered is based on a suitable partition of the sample space. A selection rule is given which is shown to have certain optimum properties among the selection rules in the given class for a mal rules are known.     

A stepwise discrete variable selection procedure

A stepwise variable selection procedure for multinomial discrimination is presented and discussed. Based upon the work of Kullback and Hills, stopping rules are proposed and illustrated for a set of data on communication buyer behavior.     

Nonparametric prediction analysis for binary data

A nonparametric inference algorithm developed by Davis and Geman (1983) is extended problem. The algorithm and applied to a medical prediction employs an estimation procedure for acquiring pairwise statistics among variables of a binary data set, allows for the data-driven creation of interaction terms among the variables, and employs a decision rule which asymptotically gives the minimum expected error. The inference procedure was designed for large data sets but has been extended via the method of cross-validation to encompass smaller data sets.