Four simultaneous component models for the analysis of multivariate time series from more than one subject to model intraindividual and interindividual differences

A class of four simultaneous component models for the exploratory analysis of multivariate time series collected from more than one subject simultaneously is discussed. In each of the models, the multivariate time series of each subject is decomposed into a few series of component scores and a loading matrix. The component scores series reveal the latent data structure in the course of time. The interpretation of the components is based on the loading matrix. The simultaneous component models model not only intraindividual variability, but interindividual variability as well. The four models can be ordered hierarchically from weakly to severely constrained, thus allowing for big to small interindividual differences in the model. The use of the models is illustrated by an empirical example.This research has been made possible by funding from the Netherlands Organization of Scientific Research (NWO) to the first author. The authors are obliged to Tom A.B. Snijders, Jos M.F. ten Berge and three anonymous reviewers for comments on an earlier version of this paper, and to Kim Shifren for providing us with her data set, which was collected at Syracuse University.     

Extending Dynamical Systems Theory to Model Embodied Cognition

We define a mathematical formalism based on the concept of an ‘‘open dynamical system” and show how it can be used to model embodied cognition. This formalism extends classical dynamical systems theory by distinguishing a ‘‘total system’’ (which models an agent in an environment) and an ‘‘agent system’’ (which models an agent by itself), and it includes tools for analyzing the collections of overlapping paths that occur in an embedded agent's state space. To illustrate the way this formalism can be applied, several neural network models are embedded in a simple model environment. Such phenomena as masking, perceptual ambiguity, and priming are then observed. We also use this formalism to reinterpret examples from the embodiment literature, arguing that it provides for a more thorough analysis of the relevant phenomena.     

Through neural stimulation to behavior manipulation: a novel method for analyzing dynamical cognitive models

The dynamical systems' approach to cognition (Dynamicism) promises computational models that effectively embed cognitive processing within its more natural behavioral context. Dynamical cognitive models also pose difficult, analytical challenges, which motivate the development of new analytical methodology. We start by illustrating the challenge by applying two conventional analytical methods to a well-known Dynamicist model of categorical perception. We then introduce our own analysis, which works by analogy with neural stimulation methods, and which yields some novel insights into the way the model works. We then extend and apply the method to a second Dynamicist model, which captures the key psychophysical trends that emerge when humans and animals compare two numbers. The results of the analysis-which reveals units with tuning functions that are monotonically related to the magnitudes of the numbers that the agents must compare-offer a clear contribution to the contentious debate concerning the way number information is encoded in the brain.     

A content analysis of the conversational behavior of accepted and rejected children

The present study was designed to assess whether the conversational behavior of children separated into accepted, rejected, and mixed-status dyads differed along the dimensions of listening to, paying attention to, and indicating interest in their dyadic partner. Conversations of 40 third-grade dyads were analyzed as they occurred in a 2- min waiting period and a 4- min conversation period. Seventeen categories of verbal behaviors that indexed these dimensions were used as content codes. Multivariate analyses of variance performed on the observational data yielded significant main effects for status, sex, and experimental condition. Results are interpreted in terms of previous social skills research, and suggestions for future research are offered.     

Editor’s introduction: Innovative dynamical approaches to cognitive systems

This Editor’s Introduction to the Cognitive Systems Research special issue, “Innovative Dynamical Approaches to Cognitive Systems,” has three aims: First, the background and motivation for the topic are stated. Second, overviews of the contributing papers are presented. Third, based on the papers, speculations on future directions in dynamical approaches to the investigation of cognitive systems are presented. Here, the focus is on concepts, data analysis methods, and computational modeling.     

慢性病患者及其配偶的二元应对纵向研究进展

通过回顾国内外相关文献,从研究的意义、现状及研究的难点等方面综述慢性病患者及其配偶的二元应对纵向研究进展。结果显示夫妻的二元应对在不同疾病中随着时间推移呈不同的发展趋势;患者和配偶的二元应对方式及应对一致性对双方远期心理健康、关系质量等有重要的预测作用,且可能存在角色、性别、应对方式的差异。国内目前在该方面的研究较少,可借鉴国外研究方法,探究不同疾病背景下夫妻二元应对的发展及其对心理社会适应的预测作用,为制定有针对性的二元干预措施提供指导。

     

Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis

Goodman's (1979, 1981, 1985) loglinear formulation for bi-way contingency tables is extended to tables with or without missing cells and is used for exploratory purposes. A similar formulation is done for three-way tables and generalizations of correspondence analysis are deduced. A generalized version of Goodman's algorithm, based on Newton's elementary unidimensional method is used to estimate the scores in all cases.This research was partially supported by National Science and Engineering Research Council of Canada, Grant No. A8724. The author is grateful to the reviewers and the editor for helpful comments.     

Dyadic interactions in accepted and rejected children

Forty same-sex dyads were separated into three groups (accepted, rejected, and mixed status) on the basis of their scores on the likability and rejection scales of the Pupil Evaluation Inventory [Pekarik, E.,et al. (1976).Journal of Abnormal Child Psychology, 4, 83–97]. These dyads participated in a 10-min videotaped interaction which was separated into three segments: waiting period, cooperative task, and conversational period. Observational recordings of six micro behaviors (talk time, gestures, gaze, smiles, orientation, and laughs), as well as ratings of physical attractiveness and speech volume (loudness) and observational counts of cooperation were obtained from these tapes. These data were subjected to a 2 (sex) × 3 (status) × 3 (segment) MANOVA, with sex and status as between-group factors and segment as a within-group factor. The results indicated a number of significant multivariate effects. Univariate tests for attractiveness, speech volume, and cooperation measures indicated a significant status effect for the variable of intensity. These results are interpreted in terms of the developmental literature on social behavior, as well as the data on face-to-face interactions provided by S. D. Duncan and D. W. Fiske [(1977).Face to face interaction: Research methods, and theory. Hillsdale, NJ: Erlbaum]. Suggestions for future research are offered.The authors wish to thank the principals, parents and children of Clinton Central Elementary, Frontier Elementary, and Western Elementary Schools for their help and participation in this project. We would also like to express our gratitude to Judith Conger, Patricia Moisan-Thomas, Judith Dygdon, and all other members of the research team who contributed their time and effort to this project.