PLS model building: A multivariate approach to personality test data

The aim of this study was to demonstrate how personality test data can be plotted with a multivariate method known as Partial Least Squares of Latent Structures (PLS). The basic methodology behind PLS modeling is presented and the example demonstrates how a PLS model of personality test data can be used for diagnostic prediction. Principles for validating the models are also presented. The conclusion is that PLS modeling appears to be a powerful method for extracting clinically relevant information from complex personality test data matrixes. It could be used as a complement to more hard modeling methods in the process of examining a new area of interest.     

The Relevance of Tillich for the Theology and Science Dialogue

This paper explores the relevance of the theology of Paul Tillich for the contemporary dialogue with the natural sciences. The focus is on his Systematic Theology , volume I. First I discuss the general relevance of Tillich's methodology (namely, the method of correlation) for that dialogue, stressing that a genuine dialogue requires cognitive input from both sides and that both sides find "value added" according to their own criteria (or what I call the method of "mutual creative interaction"). Then I move specifically to a Tillichian theological analysis of twentieth-century theoretical science and its empirical discoveries, including Big Bang, inflationary, and quantum cosmologies, quantum physics, thermodynamics, chaos and complexity, and molecular and evolutionary biology, suggesting how they relate to such Tillichian themes as finitude and the categories of being and knowing (time, space, causality, and substance) and to Tillich's understanding of such symbols as God, freedom and destiny, creation, and estrangement. In doing so, my intention is to provide a point of departure for further extended analyses of Tillich's theology in relation to contemporary natural science.     

The nature (and nurture) of personality disorders

Personality disorders have a long history in the literature but a short scientific history. The point prevalence of personality disorders is 10%, but the lifetime prevalence is probably 30–40%. Genetic factors contribute to around 40–50% of the variation in the development of personality disorders. The effect of shared environment is very small or non‐existent. Some researchers have tried to promote gene‐environment interaction. However, in reality, the studies investigated gene‐situation interaction, as the “environment” may in reality be partly of a genetic nature. Thus, we are dealing with an unknown part of gene‐gene interaction. Gene‐experience (not gene‐environment) correlations are the rule in human life. Personality disorders co‐occur (are comorbid) with symptom disorders (Axis I) and correlate with common personality dimensions. Possibly, the concept of personality disorder could merge with dysfunctional personality types. But it is likely that the concept will survive on its own.     

编码时间对序列视觉信息整合的影响

本研究采用空白单元格定位任务,探讨序列刺激整合的时间特性。实验1重复前人的实验,验证了时间间隔对整合绩效的影响;实验2系统操纵了对先前刺激的编码时间与时间间隔,结果发现,编码时间越长,记忆的效果越好,虽然会妨碍对随后刺激的知觉,但整合绩效越高;而随着时间间隔的延长,延长编码时间带来的优势逐渐减弱。结论提示,人们能够整合视觉短时记忆和视知觉的信息,而且这种整合的时间特性不同于知觉整合。     

Directional instability in the eigenvectors of positive reciprocal matrices

This article addresses the issues of rank stability and ‘bilateral’ consistency that arise when a matrix‐based decision analysis procedure is perceived as capable of yielding more than one weighting vector, for example, both a right and component‐wise inverted left eigenvector. Simple directional constraints that characterize both of the above issues are presented. Copyright © 1999 John Wiley & Sons, Ltd.     

A note on Roy's largest root

The name Roy's largest root and similar names are used in practice to label two different but functionally related statistics—one proportional to anF, and the other, a squared canonical correlation. This note presents the logic that leads to the two formulations, states which statistic some popular statistical packages use, and shows the possible source of this inconsistency in the original work of Roy (1953) and Heck (1960).     

Discrimination training, partial reinforcement, and increases in intertrial interval all reduce response speed in a continuously reinforced key-pecking task

Pigeons were trained in a discrete-trial task in which a response to the center key obtained illumination of a side key and a single response to the side key terminated a trial with either reinforcement or nonreinforcement. Center-key speeds (i.e., reciprocals of latencies) declined with increases in intertrial interval, and it is argued that this effect is related to a decreased likelihood as intertrial interval increases that birds will be near the key at trial onset. Side-key speeds on trials with reinforcement decreased both with increases in intertrial interval and with shifts from continuous reinforcement to either a discrimination or a partial-reinforcement condition. The effects on side-key speeds are compared with effects observed in alley-running tasks using rats, and an interpretation in terms of frustration theory is offered for the results obtained in both types of task.     

A mixture model for distributions of correlation coefficients

An old problem in personnel psychology is to characterize distributions of test validity correlation coefficients. The proposed model views histograms of correlation coefficients as observations from a mixture distribution which, for a fixed sample sizen, is a conditional mixture distributionh(r|n) = _{j j} h(r; _j ,n), whereR is the correlation coefficient, _j are population correlation coefficients and _j are the mixing weights. The associated marginal distribution ofR is regarded as the parent distribution underlying histograms of empirical correlation coefficients. Maximum likelihood estimates of the parameters _j and _j can be obtained with an EM algorithm solution and tests for the number of componentst are achieved after the (one-component) density ofR is replaced with a tractable modeling densityh(r; _j ,n). Two illustrative examples are provided.     

Perceived association between diagnostic and non-diagnostic cues of women’s sexual interest: General Recognition Theory predictors of risk for sexual coercion

Young men’s errors in sexual perception have been linked to sexual coercion. The current investigation sought to explicate the perceptual and decisional sources of these social perception errors, as well as their link to risk for sexual violence. General Recognition Theory (GRT; [Ashby, F. G., & Townsend, J. T. (1986). Varieties of perceptual independence. Psychological Review, 93, 154-179]) was used to estimate participants’ ability to discriminate between affective cues and clothing style cues and to measure illusory correlations between men’s perception of women’s clothing style and sexual interest. High-risk men were less sensitive to the distinction between women’s friendly and sexual interest cues relative to other men. In addition, they were more likely to perceive an illusory correlation between women’s diagnostic sexual interest cues (e.g., facial affect) and non-diagnostic cues (e.g., provocative clothing), which increases the probability that high-risk men will misperceive friendly women as intending to communicate sexual interest. The results provide information about the degree of risk conferred by individual differences in perceptual processing of women’s interest cues, and also illustrate how translational scientists might adapt GRT to examine research questions about individual differences in social perception.     

Multidimensional Adaptive Testing with Optimal Design Criteria for Item Selection

Several criteria from the optimal design literature are examined for use with item selection in multidimensional adaptive testing. In particular, it is examined what criteria are appropriate for adaptive testing in which all abilities are intentional, some should be considered as a nuisance, or the interest is in the testing of a composite of the abilities. Both the theoretical analyses and the studies of simulated data in this paper suggest that the criteria of A-optimality and D-optimality lead to the most accurate estimates when all abilities are intentional, with the former slightly outperforming the latter. The criterion of E-optimality showed occasional erratic behavior for this case of adaptive testing, and its use is not recommended. If some of the abilities are nuisances, application of the criterion of A _s -optimality (or D _s -optimality), which focuses on the subset of intentional abilities is recommended. For the measurement of a linear combination of abilities, the criterion of c-optimality yielded the best results. The preferences of each of these criteria for items with specific patterns of parameter values was also assessed. It was found that the criteria differed mainly in their preferences of items with different patterns of values for their discrimination parameters. The first author is now at the Department of Methodology and Statistics, Statistics, Faculty of Social Sciences, Utrecht University, Heidelberglaan 1, 3854 Utrecht, The Netherlands. The second author is now at Research Department, CTB/McGraw-Hill, Monterey, CA, USA.