客体投影方式对空间问题解决和再认的影响

通过设置四种实验条件,旨在阐明空间问题解决和再认的水平是如何受到客体不同投影方式的影响。除进一步支持了正投影问题的解决是以一个具有三维结构特性的心理表征为基础而并非是对二维正投影信息进行了充分识别的观点外,研究结果还表明：（１）这个具有客体三维结构特性的心理表征是建构于对正投影问题解决而非轴测投影图的再认过程中;（２）正投影问题解决的复杂性显著地高于轴测投影图问题解决而且一个建构于正投影问题解决中     

Rotation to Simple Loadings Using Component Loss Functions: The Oblique Case

Component loss functions (CLFs) similar to those used in orthogonal rotation are introduced to define criteria for oblique rotation in factor analysis. It is shown how the shape of the CLF affects the performance of the criterion it defines. For example, it is shown that monotone concave CLFs give criteria that are minimized by loadings with perfect simple structure when such loadings exist. Moreover, if the CLFs are strictly concave, minimizing must produce perfect simple structure whenever it exists. Examples show that methods defined by concave CLFs perform well much more generally. While it appears important to use a concave CLF, the specific CLF used is less important. For example, the very simple linear CLF gives a rotation method that can easily outperform the most popular oblique rotation methods promax and quartimin and is competitive with the more complex simplimax and geomin methods. The author would like to thank the editor and three reviewers for helpful suggestions and for identifying numerous errors.     

Social Categorization Moderates Social Projection

When categorized into social groups, people view members of in-groups, but not members of out-groups, as being similar to themselves. In three experiments, social categorization moderated the spread of social projection in both minimal and value-tagged laboratory groups and regardless of whether individual perceivers judged both groups or only one. The categorization effect tracked changes in the perceiver's group status so that most perceivers projected only to present but not past in-groups. The lack of out-group projection supported an anchoring hypothesis, according to which self-referent information is engaged only when it is considered applicable to the judgment at hand. The induction hypothesis and the differentiation hypothesis, which predicted positive and negative out-group projection, respectively, were not supported. Implications for theories of intergroup perception and bias are discussed.     

Generalized constrained multiple correspondence analysis

A comprehensive approach for imposing both row and column constraints on multivariate discrete data is proposed that may be called generalized constrained multiple correspondence analysis (GCMCA). In this method each set of discrete data is first decomposed into several submatrices according to its row and column constraints, and then multiple correspondence analysis (MCA) is applied to the decomposed submatrices to explore relationships among them. This method subsumes existing constrained and unconstrained MCA methods as special cases and also generalizes various kinds of linearly constrained correspondence analysis methods. An example is given to illustrate the proposed method.Heungsun Hwang is now at Claes Fornell International Group. The work reported in this paper was supported by Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the second author.     

Riemannian Newton and trust-region algorithms for analytic rotation in exploratory factor analysis

In exploratory factor analysis, latent factors and factor loadings are seldom interpretable until analytic rotation is performed. Typically, the rotation problem is solved by numerically searching for an element in the manifold of orthogonal or oblique rotation matrices such that the rotated factor loadings minimize a pre-specified complexity function. The widely used gradient projection (GP) algorithm, although simple to program and able to deal with both orthogonal and oblique rotation, is found to suffer from slow convergence when the number of manifest variables and/or the number of latent factors is large. The present work examines the effectiveness of two Riemannian second-order algorithms, which respectively generalize the well-established truncated Newton and trust-region strategies for unconstrained optimization in Euclidean spaces, in solving the rotation problem. When approaching a local minimum, the second-order algorithms usually converge superlinearly or even quadratically, better than first-order algorithms that only converge linearly. It is further observed in Monte Carlo studies that, compared to the GP algorithm, the Riemannian truncated Newton and trust-region algorithms require not only much fewer iterations but also much less processing time to meet the same convergence criterion, especially in the case of oblique rotation.     

Willingness to express emotion depends upon perceiving partner care

Two studies document that people are more willing to express emotions that reveal vulnerabilities to partners when they perceive those partners to be more communally responsive to them. In Study 1, participants rated the communal strength they thought various partners felt toward them and their own willingness to express happiness, sadness and anxiety to each partner. Individuals who generally perceive high communal strength from their partners were also generally most willing to express emotion to partners. Independently, participants were more willing to express emotion to particular partners whom they perceived felt more communal strength toward them. In Study 2, members of romantic couples independently reported their own felt communal strength toward one another, perceptions of their partners’ felt communal strength toward them, and willingness to express emotions (happiness, sadness, anxiety, disgust, anger, hurt and guilt) to each other. The communal strength partners reported feeling toward the participants predicted the participants’ willingness to express emotion to those partners. This link was mediated by participants’ perceptions of the partner’s communal strength toward them which, itself, was a joint function of accurate perceptions of the communal strength partners had reported feeling toward them and projections of their own felt communal strength for their partners onto those partners.     

The Projective Way of Knowing: A Useful Heuristic That Sometimes Misleads

For many purposes, people need a reasonably good idea of what other people know. This article presents an argument and considers evidence that people use their own knowledge as a basis for developing models of what specific other people know in particular, that they tend to assume that other people know what they know. This is a generally useful heuristic, but the assumption is often made uncritically, with the consequence that people end up assuming that others have knowledge that they do not have.     

The Primary Triangle and Variation in Nuclear Family Functioning

The triangle, a concept in Bowen theory, is the emotional molecule in the family system that shapes the human over the course of life. This longitudinal study explored the influence of the family of origin primary triangle on 51 couples’ family of procreation functioning over 10 years. The quantitative analysis found associations between family of procreation functioning and three variables: distance versus openness in the family of origin primary triangle, the degree of inside and outside positions in the primary triangle, and the degree of family projection as expressed in worry. In addition, the three triangle relationships correlated with each other, supporting the idea that each relationship influenced the other. Using qualitative methods, a focused analysis elaborated on the quantitative findings.