亲组织不道德行为的负面效应及其作用机制

近年来, 员工为了企业利益而做出的违背社会价值、道德习俗、行为规范和法律等的亲组织不道德行为(Unethical pro-organizational behavior, UPB)导致的各种悲剧不断上演。然而, 现有研究主要聚焦于UPB的影响因素和积极作用方面, 对其潜在的危害性重视不足。鉴于此, 从多层次视角研究UPB的负面效应及其作用机制。首先, 考察UPB对情绪耗竭的影响及道德认同的调节作用和内疚的中介作用。其次, 创造性地提出组织UPB的概念, 并考察其对组织长期绩效的负面效应以及企业声誉的中介效应。最后, 进一步从利益相关者的视角考察企业UPB和员工UPB对顾客主动绩效的影响以及顾客企业认同的中介效应和顾客知觉到的员工组织化身的调节效应。研究成果不仅有助于丰富UPB的相关理论, 而且对遏制这种行为的进一步漫延具有重要启示。     

谐音线索和“歇后”时间对谐音型歇后语理解的影响

运用ERPs技术考察谐音线索和前、后语节呈现时间间隔（ISI）对谐音型歇后语理解的影响。行为实验结果表明谐音线索影响语料的通达过程。在短ISI条件下,谐音线索同时作用于反应时和错误率,易化对歇后语的加工;在长ISI条件下,谐音线索仅提高正确率。ERPs结果表明,长ISI诱发更大波幅的N170成分和P200成分,不出现谐音线索将诱发更大波幅的P300成分,同时,短ISI诱发更大波幅的N400成分。实验结果推测,谐音型歇后语的理解分为三个阶段：（１）早期注意、语义识别和初级整合过程;（２）谐音线索加工过程;（３）通过语义映射中介,消除差异,获得同一性的过程。     

Graphical regression models for polytomous variables

When modeling the relationship between two nominal categorical variables, it is often desirable to include covariates to understand how individuals differ in their response behavior. Typically, however, not all the relevant covariates are available, with the result that the measured variables cannot fully account for the associations between the nominal variables. Under the assumption that the observed and unobserved variables follow a homogeneous conditional Gaussian distribution, this paper proposesRC(M) regression models to decompose the residual associations between the polytomous variables. Based on Goodman's (1979, 1985)RC(M) association model, a distinctive feature ofRC(M) regression models is that they facilitate the joint estimation of effects due to manifest and omitted (continuous) variables without requiring numerical integration. TheRC(M) regression models are illustrated using data from the High School and Beyond study (Tatsuoka & Lohnes, 1988). This article was accepted for publication, when Willem J. Heiser was the Editor ofPsychometrika. This research was supported by grants from the National Science Foundation (#SBR96-17510 and #SBR94-09531) and the Bureau of Educational Research at the University of Illinois. We thank Jee-Seon Kim for comments and computational assistance.     

Book reviews

Books reviewed:
Kirsch, Thomas B., The Jungians: A Comparative and Historical Perspective
Perera, Sylvia Brinton, Queen Maeve and Her Lovers.
Fonagy, Peter; Cooper, Arnold, Wallerstein, M. & Robert, S., (eds.) Psychoanalysis on the Move. The work of Joseph Sandler
Green, Andre, The Fabric of Affect in the Psychoanalytic Discourse,
Johnson, S. & Ruszcynski, S., (eds.) Psychoanalytic Psychotherapy in the Independent Tradition
Vaidyanathan, T. G. & Kripal, J. J., (eds.) Vishnu on Freud's Desk – A Reader in Psychoanalysis and Hinduism.     

雇员主动离职心理动因模型评述

在介绍雇员离职研究背景和意义的基础上,重点对1980年后雇员主动离职研究中4个有代表性的心理动因模型──Steers 和Mowday(1981)模型、Sheridan(1983)模型、Lee和Mitchell(1994)模型以及Price(2000)模型进行了细致的评述,并对主动离职心理动因模型的发展方向提出了一些看法。     

Stimulus equivalence and transitive associations: A methodological analysis

When a number of two-stimulus relations are established through training within a set of stimuli, other two-stimulus relations often emerge in the same set without direct training. These, termed "transitive stimulus relations," have been demonstrated with a variety of visual and auditory stimuli. The phenomenon has served as a behavioral model for explaining the emergence of rudimentary comprehension and reading skills, and the development of generative syntactic repertoires. This article considers the range of relations that can arise between a given number of stimuli in a class, the number of directly established two-stimulus relations necessary for the emergence of transitive relations, the forms that training sets of stimuli can take, and the number of transitive two-stimulus relations that can be induced without direct training. The procedures needed to establish and assess transitive stimulus control, the possible interactions between the training and testing procedures, and the constrainst these interactions place upon the analysis of transitive stimulus control are also examined. The present analysis indicates that in a transitivity test, choice among such stimuli may be controlled by (1) the relation between the sample and the positive comparison stimulus (transitive stimulus control), (2) the relation between the sample and the negative comparison stimulus (S- rule control), and (3) possible discriminative properties that may inadvertently be established in the positive and negative comparison stimuli (valence control). Methods are described for distinguishing these three forms of stimulus control.     

基于特征的联想

联想是认知科学中十分重要的现象,许多学者进行过不同角度的研究,获得了许多有意义的结果。根据有关对象（０ｂｊｅｃｔ）描述的基本概念,从联接机制的角度对联想问题进行一些探讨,并提出一个基于特征的联想模型ＦＢＣＡＭ（ＦｅａｔｕｒｅＢａｓｅｄＣｏｎｎｅｃｔｉｏｎｉｓｔＡｓｓｏｃｉａｔｉｏｎＭｏｄｅｌ）。在ＦＢＣＡＭ中,对象由其特征及特征的伴随值描述,从而可以获得更为精确的描述。对象的全部特征构成描述模式,伴随值则相应地构成伴随向量。在此基础上可以细致地刻画概念之间的相似性,并可对联想及注意机制进行细致的模拟与分析。文中利用联接机制的思想实现了ＦＢＣＡＭ并给出该系统的部分运行结果,表明ＦＢＣＡＭ可以较合理地解释联想过程     

Multivariate normal integrals and contingency tables with ordered categories

Ak-dimensional multivariate normal distribution is made discrete by partitioning thek-dimensional Euclidean space with rectangular grids. The collection of probability integrals over the partitioned cubes is ak-dimensional contingency table with ordered categories. It is shown that loglinear model with main effects plus two-way interactions provides an accurate approximation for thek-dimensional table. The complete multivariate normal integral table is computed via the iterative proportional fitting algorithm from bivariate normal integral tables. This approach imposes no restriction on the correlation matrix. Comparisons with other numerical integration algorithms are reported. The approximation suggests association models for discretized multivariate normal distributions and contingency tables with ordered categories.The contingency-table approach occurred to me while I was collaborating with Paul Holland of the Educational Testing Service in 1985 on bivariate dependence functions. Holland maintains a belief that the continuous can learn from the discrete. This work is a reassertion of his claim.This research was sponsored by the National Science Council, Republic of China.     

Tail-measurability in monotone latent variable models

We consider latent variable models for an infinite sequence (or universe) of manifest (observable) variables that may be discrete, continuous or some combination of these. The main theorem is a general characterization by empirical conditions of when it is possible to construct latent variable models that satisfy unidimensionality, monotonicity, conditional independence, andtail-measurability. Tail-measurability means that the latent variable can be estimated consistently from the sequence of manifest variables even though an arbitrary finite subsequence has been removed. The characterizing,necessary and sufficient, conditions that the manifest variables must satisfy for these models are conditional association and vanishing conditional dependence (as one conditions upon successively more other manifest variables). Our main theorem considerably generalizes and sharpens earlier results of Ellis and van den Wollenberg (1993), Holland and Rosenbaum (1986), and Junker (1993). It is also related to the work of Stout (1990).The main theorem is preceded by many results for latent variable modelsin general—not necessarily unidimensional and monotone. They pertain to the uniqueness of latent variables and are connected with the conditional independence theorem of Suppes and Zanotti (1981). We discuss new definitions of the concepts of true-score and subpopulation, which generalize these notions from the stochastic subject, random sampling, and domain sampling formulations of latent variable models (e.g., Holland, 1990; Lord & Novick, 1968). These definitions do not require the a priori specification of a latent variable model.The authors made equivalent contributions to the results of this article. Ellis' research was supported by the Dutch Interuniversitary Graduate School of Psychometrics and Sociometrics. Junker's research was supported by ONR Grant N00014-87-K-0277, NIMH Grant MH15758, and a Carnegie Mellon University Faculty Development Grant. In addition Junker would like to acknowledge the hospitality of the Nijmegen Institute for Cognition and Information during his visit to the University of Nijmegen in August 5–10, 1993.     

The analysis of three-way contingency tables by three-mode association models

TheRC(M) association model (Goodman, 1979, 1985, 1986, 1991) is useful for analyzing the relationship between the variables of a 2-way cross-classification. The models presented here are generalizations of theRC(M) association model for 3-way tables. The family of models proposed here, 3-mode association models, use Tucker's 3-mode components model (Tucker, 1964, 1966; Kroonenberg, 1983) to represent either the three factor interaction or the combined effects of two and three factor interactions. An example from a study in developmental psychology (Kramer & Gottman, 1992) is provided to illustrate the usefulness of the proposed models.I thank Stanley Wasserman, Laurie Kramer, Ulf Böckenholt, Larwence Hubert, Jeffrey Tanaka, and five anonymous reviewers for valuable comments.