Influence analysis of structural equation models with polytomous variables

The estimation of model parameters in structural equation models with polytomous variables can be handled by several computationally efficient procedures. However, sensitivity or influence analysis of the model is not well studied. We demonstrate that the existing influence analysis methods for contingency tables or for normal theory structural equation models cannot be applied directly to structural equation models with polytomous variables; and we develop appropriate procedures based on the local influence approach of Cook (1986). The proposed procedures are computationally efficient, the necessary bits of the proposed diagnostic measures are readily available following an usual fit of the model. We consider the influence of an individual cell frequency with respect to three cases: when all parameters in an unstructured model are of interest, when the unstructured polychoric correlations are of interest, and when the structural parameters are of interest. We also consider the sensitivity of the parameters estimates. Two examples based on real data are presented for illustration.The work described in this paper was partially supported by a Chinese University of Hong Kong Postdoctoral Fellows Scheme and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (RGC Ref. No. CUHK4186/98P). We are indebted to P.M. Bentler and M.D. Newcomb for providing the data set, Michael Leung for his assistance, and the Editor and the referees for some very valuable comments.     

汉语口语句子产生的语法编码计划单元

语法编码的计划单元作为口语句子产生领域的一个重要命题,近年来备受心理语言学者的关注。本研究利用词图干扰范式下的语义效应,通过两个行为实验探讨了汉语口语句子产生中的语法编码计划单元。实验中要求被试用介词短语做主语的句子或者并列名词短语做主语的句子来命名两个竖直排列的图片,并视觉呈现干扰词。结果表明,对于两个句式而言,在第二个名词上都没有潜伏期的语义干扰效应,只有错误率上的语义干扰效应,而且这个结果并没有随着SOA(目标图片和干扰词开始呈现的时间间隔)的改变(0、150或300ms)而改变。当干扰词与图片同时呈现时(SOA=0)在并列名词短语做主语的句子中,第二个名词上出现了潜伏期的语义促进效应。这些结果说明,语法编码的说法较为宽泛,应具体描述为:词汇选择是严格递进的,而概念激活的计划单元可能是功能短语。     

School Effectiveness Findings 1979–2002

The London studies of school effectiveness in the 1970s provided evidence that the qualities of schools made a significant difference to pupil progress, after taking account of the characteristics and backgrounds of the pupils at the time of school entry. The purpose of this article is to review the further evidence that has accumulated since then in order to assess how far the findings have been confirmed or refuted, what new questions have arisen and what key challenges remain. The continuing areas of research and debate include school effects on behavioral outcomes, the effects of class size, the importance of parental involvement, the impact of intake mix, peer influences, and level of resources. There has been greater agreement on the many features fostering school effectiveness. However, questions remain on how to bring about desired changes. The paper concludes by drawing attention to 10 largely unanswered questions that matter for policy and practice.     

Review

Book reviewed in this article:
David Ray Griffin, Religion and Scientific Naturalism: Overcoming the Conflicts     

God and Evolutionary Evil: Theodicy in the Light of Darwinism

Pain, suffering, death, and extinction have been intrinsic to the process of evolution by natural selection. This leads to a real problem of evolutionary theodicy, little addressed up to now in Christian theologies of creation. The problem has ontological, teleological, and soteriological aspects. The recent literature contains efforts to dismiss, disregard, or reframe the problem. The radical proposal that God has no long–term goals for creation, but merely keeps company with its unfolding, is one way forward. An alternative strategy to tackle the problem of evolutionary theodicy is outlined, with an implication for environmental ethics and suggestions for further work.     

New Evolutionary Perspectives on Altruism: Multilevel-Selection and Costly-Signaling Theories

Social psychological theories tend to be primarily concerned with the immediate causes of altruism, whereas evolutionary explanations focus more on the origins and ultimate functions of altruistic behavior. Recent developments in the evolutionary psychology of altruism promise an even richer understanding of this important category of social behaviors. Specifically, new perspectives offered by multilevel-selection theory and costly-signaling theory may help to shed light on some of the more problematic issues in the study of altruism.     

Learning Psychoanalysis: A Classification Based on Students' Learning Trajectories

This study was undertaken in an effort to sharpen selection procedures and improve faculty response to the learning needs of students. Eschewing a traditional anticipatory approach in determining suitability for training, the authors undertook a retrospective study to investigate the learning trajectories of candidates. A learning trajectory is defined as the particular way individuals learn, or fail to learn, as they advance through an Institute's training program. The database of this study grew out of the authors' experience with students in classrooms, in supervision, and from discussions about them in Progression, Selection, and The Evaluation of Learning committees. Realizing the reductionism of categorizing a highly complex and diverse group of individuals, the authors, nonetheless, found that candidates tended to group into five rather distinct categories. This paper discusses in detail the characteristics of these five categories and suggests ways in which this grouping may help in both selection and in planning more effective training for candidates. The authors are fully aware that this study has impressionistic qualities and warrants more rigorous research methods, but hope that it will arouse interest in other psychoanalytic centers and stimulate studies to corroborate, refine, or reject the conclusions reached by this group.     

实验设计:一种非模式的方法

实验设计通常被当作一种种设计模式．这种方法可称之为实验设计的模式方法。但本文认为,这种常用的方法事实上存在着不少缺点。于此．本文尝试提出了一种新的实验设计方法——实验设计的变量方法。实验设计的变量方法的基本思想是．从实验研究的问题出发,根据实验中变量的性质或特点确定实验设计的具体内容。本文最后讨论了实验设计变量方法的优越性。     

潜变量交互效应分析方法

简要回顾了分析显变量交互效应的常用方法。详细讨论了目前分析潜变量交互效应的主要方法,包括用潜变量的因子得分做回归分析、分组线性结构方程模型分析、加入乘积项的结构方程模型分析和两步最小二乘回归分析,并比较和评价了这些方法的优缺点。最后归纳了潜变量交互效应分析方法的研究趋势,并介绍了新近进展(包括LMS方法和GAPI方法)。     

汉语词汇产生中音、形、义三种信息激活的时间进程

采用图-词干扰范式和图片命名方法,探讨语音、语义、字形在汉语词汇产生中激活的时间进程与特点。选择与目标图片名称(如“羊”)具有同音(“阳”)、语义相联(“牛”)、字形相似(“丰”)或无关控制(“冷”)等四种关系的干扰字,依SOA条件呈现在将要被命名的图片上,发现图片命名时间受干扰字的影响：语义干扰效应存在于较早期的SOA(0ms)条件中,在较晚期SOA(150ms)时有很大的减弱;语音促进效应和字形促进效应同时强烈地存在于早期和晚期SOA。实验发现了词条选择(语义激活)和音位编码(语音提取)在激活时间上的重叠现象,与传统的独立两阶段模型的预期存在明显矛盾,倾向于支持交互作用理论的观点。