华人人际关系的概念化——针对中国香港大学生的实证研究

以杨中芳所构建的华人人际关系概念化理论模型为蓝本,并用以往的实证研究方法为基础,揭示了当代华人对人际关系如何进行概念化及其潜在的认知维度。杨氏模型认为华人人际关系主要由既定成分、情感成分和工具成分组成。该研究以中国香港大学生为被试进行调查,首先采用访谈的形式,分家族、学校及日常生活情境建立人际关系清单。然后采用多维量法（Multi-dimensional scaling）处理被试对关系进行分类的数据。结果发现,在不同的生活情境中,被试均依据情感程度对关系进行分类。在等级差异明显的家族和学校情境中,被试依据辈份和等级差异的突显性进行区分;而在等级差异小的生活情境中,则采用功利程度为标准。本文对被试在不同情境中所采用的不同维度进行了讨论,并提出华人人际关系的义务具有工具性质的实证结果     

Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences

Discrete choice experiments—selecting the best and/or worst from a set of options—are increasingly used to provide more efficient and valid measurement of attitudes or preferences than conventional methods such as Likert scales. Discrete choice data have traditionally been analyzed with random utility models that have good measurement properties but provide limited insight into cognitive processes. We extend a well‐established cognitive model, which has successfully explained both choices and response times for simple decision tasks, to complex, multi‐attribute discrete choice data. The fits, and parameters, of the extended model for two sets of choice data (involving patient preferences for dermatology appointments, and consumer attitudes toward mobile phones) agree with those of standard choice models. The extended model also accounts for choice and response time data in a perceptual judgment task designed in a manner analogous to best–worst discrete choice experiments. We conclude that several research fields might benefit from discrete choice experiments, and that the particular accumulator‐based models of decision making used in response time research can also provide process‐level instantiations for random utility models.     

Happiness,excellence, and optimal human functioning revisited: Examining the peer-reviewed literature linked to positive psychology

Since the original call by Seligman and Csikszentmihalyi (2000) for a new science of happiness, excellence, and optimal human functioning, there has been an explosion of activity in, acclaim for, and criticism of positive psychology. The purpose of this study was to identify and examine the peer-reviewed literature linked to the positive psychology movement. An extensive systematic review identified 1336 articles published between 1999 and 2013. More than 750 of these articles included empirical tests of positive psychology theories, principles, and interventions. The results show a fairly consistent increase in the rate of publication, and that the number of empirical studies has grown steadily over the time period. The findings demonstrate that positive psychology is a growing and vibrant sub-area within the broader discipline of psychology, committed to using the same rigorous scientific methods as other sub-areas, in pursuit of understanding well-being, excellence, and optimal human functioning.     

A Multidimensional Scaling Analysis of Perceptions of Academic Dishonesty Among Fifth-Grade Students

A study was conducted to investigate the perceptions of academic dishonesty in fifth-grade students. Two methods were used to gather data: a sorting task, which was used to indirectly assess the students' perceptions, and a rating scale task, which was used to externally validate the results of the sorting task. Results of the multidimensional scaling analysis yielded two dimensions, the first being tests/homework and papers, and the second, more ambiguous appearing to differentiate based on seriousness.     

A marginal maximum likelihood method for the vector threshold model to analyze dichotomous choice data

Abstract: At least two types of models, the vector model and the unfolding model can be used for the analysis of dichotomous choice data taken from, for example, the pick any/ n method. The previous vector threshold models have a difficulty with estimation of the nuisance parameters such as the individual vectors and thresholds. This paper proposes a new probabilistic vector threshold model, where, unlike the former vector models, the angle that defines an individual vector is a random variable, and where the marginal maximum likelihood estimation method using the expectation-maximization algorithm is adopted to avoid incidental parameters. The paper also attempts to discuss which of the two models is more appropriate to account for dichotomous choice data. Two sets of dichotomous choice data are analyzed by the model.     

测验链接中的锚题代表性研究

本文旨在以“锚题代表性”这一研究命题切入,探索在非等组锚测验设计下,作为实现测验链接的重要载体,锚题和相关的测验试卷/水平之间究竟应该有什么关系。本文首先指出锚题代表性这一概念在等值和垂直量尺化领域中具有不同的含义,并给出其在垂直量尺化中的含义。通过考察测验链接中有关锚题代表性的既有研究,系统总结相关研究成果,本文概括出了当前锚题构建实践的可能优化方案,分析了锚题代表性研究的未来方向。     

ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses

A common representation of data within the context of multidimensional scaling (MDS) is a collection of symmetric proximity (similarity or dissimilarity) matrices for each of M subjects. There are a number of possible alternatives for analyzing these data, which include: (a) conducting an MDS analysis on a single matrix obtained by pooling (averaging) the M subject matrices, (b) fitting a separate MDS structure for each of the M matrices, or (c) employing an individual differences MDS model. We discuss each of these approaches, and subsequently propose a straightforward new method (CONcordance PARtitioning—ConPar), which can be used to identify groups of individual-subject matrices with concordant proximity structures. This method collapses the three-way data into a subject×subject dissimilarity matrix, which is subsequently clustered using a branch-and-bound algorithm that minimizes partition diameter. Extensive Monte Carlo testing revealed that, when compared to K-means clustering of the proximity data, ConPar generally provided better recovery of the true subject cluster memberships. A demonstration using empirical three-way data is also provided to illustrate the efficacy of the proposed method.     

Psychophysics without physics: extension of Fechnerian scaling from continuous to discrete and discrete-continuous stimulus spaces

The computation of subjective (Fechnerian) distances from discrimination probabilities involves cumulation of appropriately transformed psychometric increments along smooth arcs (in continuous stimulus spaces) or chains of stimuli (in discrete spaces). In a space where any two stimuli that are each other's points of subjective equality are given identical physical labels, psychometric increments are positive differences ψ(x,y)-ψ(x,x) and ψ(y,x)-ψ(x,x), where x≠y and ψ is the probability of judging two stimuli different. In continuous stimulus spaces the appropriate monotone transformation of these increments (called overall psychometric transformation) is determined uniquely in the vicinity of zero, and its extension to larger values of its argument is immaterial. In discrete stimulus spaces, however, Fechnerian distances critically depend on this extension. We show that if overall psychometric transformation is assumed (A) to be the same for a sufficiently rich class of discrete stimulus spaces, (B) to ensure the validity of the Second Main Theorem of Fechnerian Scaling in this class of spaces, and (C) to agree in the vicinity of zero with one of the possible transformations in continuous spaces, then this transformation can only be identity. This result is generalized to the broad class of “discrete-continuous” stimulus spaces, of which continuous and discrete spaces are proper subclasses.     

Investigating the nature of expressiveness in stranger,acquaintance and intrafamilial homicides

This study explores the role of the victim–offender relationship in the dynamics of homicide, by examining the crime scene behaviour of 25 intrafamilial, 30 acquaintance and 27 stranger homicide offenders (n = 82). Six crime scene variables were examined: ‘Weapon from the scene’, ‘Excessive wounding’, ‘Facial trauma’, ‘Multiple wounds to a single area’, ‘Post‐mortem activity’ and ‘Manual violence’. The first objective was to identify whether these variables could be combined to form a partially ordered scale of expressiveness. The second was to examine whether the nature of this expressive crime scene varied according to the victim and offender relationship. It was hypothesised that the intrafamilial homicides would be characterised by a more expressive crime scene. This was examined by Partial Order Scalogram Analysis which supported the hypothesised link between the level of expressed emotion evident in the crime scene and the nature of the victim–offender relationship. Further analysis on the individual variables revealed that the best single predictor of the relationship between victim and offender was the presence of multiple wounding. These findings are discussed both as contributing to a theoretical understanding of the emotional salience of crime scene actions when killing a family member, and in practical terms in relation to the significance of these variables for both police investigations and clinical interventions with homicide perpetrators. Copyright © 2005 John Wiley & Sons, Ltd.