婴幼儿词语习得中的社会性认知加工过程

有关婴幼儿词语习得的研究主要有三种理论假设:联想学习理论、制约限制理论和社会语用理论.本文将从以下四个方面着重介绍社会语用理论的相关研究:婴幼儿词语习得过程涉及哪些社会性认知加工过程,社会语用理论如何应对来自前两种理论的质疑和挑战,社会性认知加工过程的相对权重如何以及自闲症儿童词语习得存在怎样的社会性认知加工障碍.相关研究结果表明社会性认知加工过程在婴幼儿词语习得中具有基础性作用.最后对今后在该领域的研究中需要进一步深入探讨的问题提出了一些思考.     

学龄儿童失调态度在应激与抑郁间的作用：一项多波段追踪研究

通过对3年级和7年级学龄儿童的追踪研究,探讨儿童群体中Beck抑郁理论认知易感因素在应激事件与抑郁症状间的作用。对追踪数据的多层线性模型和多层结构方程模型分析发现,作为Beck抑郁理论中认知易感因素的失调态度在3年级儿童中既没有显著的中介作用也没有显著的调节作用,而在7年级儿童中虽然失调态度仍然没有显著的调节作用,但却有显著的中介作用。研究结果可能初步揭示了失调态度在应激事件与抑郁症状关系中的发展性特征,这一发现对在儿童群体中实施抑郁的有效干预将具有较为重要的启示意义。     

A Multiobjective Diet Planning Support System Using the Satisficing Trade-off Method

This paper shows that the satisficing trade-off method (STOM), one of the interactive multiobjective programming techniques, can be applied effectively to the formulation of livestock rations. Nutrient requirements are considered as soft constraints whose right-hand sides are flexible to some extent. This is easily done by regarding the values of the right-hand sides of the constraints as aspiration levels of the decision maker for objective functions. In this way a well-balanced solution can be obtained by STOM with automatic trade-off analysis. In STOM, moreover, because the objective functions and the constraint functions are interchangeable, decision makers are not required to consider the role of objective and constraint as fixed from the beginning. The authors’ experience is that the method makes ration formulation very easy, rapid and flexible. In addition, this paper shows how effectively STOM can be applied not only to diet planning but also to nutritional diagnosis. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 131–139 (1997) No. of Figures: 1. No. of Tables: 3. No. of References: 28.     

Investigating Behavioral Dynamics With A Fixed-time Extinction Schedule And Linear Analysis

This paper describes the behavioral adaptation observed for 16 pigeons responding to a step transition in the reinforcement rate in a repeated-trial design. Within each trial, following exposure for a fixed period to a variable-interval schedule, there was an unsignaled change in the schedule to extinction. The step transition allowed an experimental test of the applicability of a linear analysis to steady-state dynamic behavior. The computations required for this test yielded, as an intermediate result, transfer functions for each of the 16 birds from 1 mHz to 256 mHz. The transfer functions obtained show greater responsiveness to lower frequencies (i.e., longer time-scale structures in the reinforcement schedule); hence, the pigeons have the characteristics of a low-pass filter. The outcome of the test is that some predictability of the pigeons' future behavior is possible.     

Predicting Change in Parenting Stress Across Early Childhood: Child and Maternal Factors

This study examined maternal parenting stress in a sample of 430 boys and girls including those at risk for externalizing behavior problems. Children and their mothers were assessed when the children were ages 2, 4, and 5. Hierarchical linear modeling (HLM) was used to examine stability of parenting stress across early childhood and to examine child and maternal factors predicting parenting stress at age 2 and changes in parenting stress across time. Results indicated that single parenthood, maternal psychopathology, child anger proneness, and child emotion dysregulation predicted 2-year parenting stress. Child externalizing behaviors predicted initial status and changes across time in parenting stress. Stability of parenting stress was dependent upon child externalizing problems, as well as interactions between child externalizing problems and gender, and child externalizing problems and emotion regulation. Results are discussed in the context of mechanisms by which parenting stress may influence the development of child externalizing behaviors.     

组织信任对员工态度和离职意向、组织财务绩效的影响

为了探讨组织信任对个体和组织的作用,在全国不同地区43家企业进行了问卷调查,得到801份有效问卷。结果表明,在个体方面,多层线性模型（HLM：hierarchical linear modeling）分析的结果显示：组织信任对个体的工作满意度、情感承诺有显著的正向预测效果,对离职意向具有显著的负向预测效果;组织信任对工作满意度、情感承诺与离职意向之间的关系都具有显著的调节（加强）作用。在组织方面,结构方程模型的分析结果显示：组织信任通过组织学习和组织创新的完全中介作用于组织的主观财务绩效,即一方面分别通过组织学习和组织创新的完全中介作用于财务绩效,另一方面直接通过组织创新的完全中介作用于组织的财务绩效     

Component analysis in cross-sectional and longitudinal data

An extension of component analysis to longitudinal or cross-sectional data is presented. In this method, components are derived under the restriction of invariant and/or stationary compositing weights. Optimal compositing weights are found numerically. The method can be generalized to allow differential weighting of the observed variables in deriving the component solution. Some choices of weightings are discussed. An illustration of the method using real data is presented.Preparation of this article was supported in part by PSC-CUNY Grant #665365 to Roger E. Millsap and by National Institute of Aging Grant NIA-AG03164-03 to William Meredith. The authors thank John Nesselroade for permitting the use of the data presented in the article.     

On the Stability of Psychological Hardiness: A Three-Year Longitudinal Study

More than 30 years of research has established psychological hardiness as an important individual resiliency resource. One important question still remaining is whether psychological hardiness can be trained. The present study explored this question longitudinally within the context of a 3-year military academy training program. Cadets from 3 different Norwegian military academies (N = 293) completed hardiness questionnaires during the first week of their training, and then again at the end of each year, resulting in a total of 4 waves of data. Using hierarchical linear modeling, no statistically significant effect of time on hardiness scores was found. The nonsignificant growth parameter was examined further using Bayesian statistics as an indicator of the relative evidence for the null hypothesis of no change over time versus the alternative hypothesis of change. The resulting Bayes factor provided substantial support in our data for the null hypothesis of no hardiness development during the 3-year officer training programs.     

Statistical inference for multiple choice tests

Finite sample inference procedures are considered for analyzing the observed scores on a multiple choice test with several items, where, for example, the items are dissimilar, or the item responses are correlated. A discrete p-parameter exponential family model leads to a generalized linear model framework and, in a special case, a convenient regression of true score upon observed score. Techniques based upon the likelihood function, Akaike's information criteria (AIC), an approximate Bayesian marginalization procedure based on conditional maximization (BCM), and simulations for exact posterior densities (importance sampling) are used to facilitate finite sample investigations of the average true score, individual true scores, and various probabilities of interest. A simulation study suggests that, when the examinees come from two different populations, the exponential family can adequately generalize Duncan's beta-binomial model. Extensions to regression models, the classical test theory model, and empirical Bayes estimation problems are mentioned. The Duncan, Keats, and Matsumura data sets are used to illustrate potential advantages and flexibility of the exponential family model, and the BCM technique.The authors wish to thank Ella Mae Matsumura for her data set and helpful comments, Frank Baker for his advice on item response theory, Hirotugu Akaike and Taskin Atilgan, for helpful discussions regarding AIC, Graham Wood for his advice concerning the class of all binomial mixture models, Yiu Ming Chiu for providing useful references and information on tetrachoric models, and the Editor and two referees for suggesting several references and alternative approaches.