A quasi-nonmetric method for multidimensional scaling VIA an extended euclidean model

An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model which assumes both common and specific dimensions is described and contrasted with the standard (Two-Way) MDS model. In this Extended Two-Way Euclidean model then stimuli (or other objects) are assumed to be characterized by coordinates onR common dimensions. In addition each stimulus is assumed to have a dimension (or dimensions) specific to it alone. The overall distance between objecti and objectj then is defined as the square root of the ordinary squared Euclidean distance plus terms denoting the specificity of each object. The specificity,s _j , can be thought of as the sum of squares of coordinates on those dimensions specific to objecti, all of which have nonzero coordinatesonly for objecti. (In practice, we may think of there being just one such specific dimension for each object, as this situation is mathematically indistinguishable from the case in which there are more than one.)We further assume that _ij =F(d _ij ) +e _ij where _ij is the proximity value (e.g., similarity or dissimilarity) of objectsi andj,d _ij is the extended Euclidean distance defined above, whilee _ij is an error term assumed i.i.d.N(0, ²).F is assumed either a linear function (in the metric case) or a monotone spline of specified form (in the quasi-nonmetric case). A numerical procedure alternating a modified Newton-Raphson algorithm with an algorithm for fitting an optimal monotone spline (or linear function) is used to secure maximum likelihood estimates of the paramstatistics) can be used to test hypotheses about the number of common dimensions, and/or the existence of specific (in addition toR common) dimensions.This approach is illustrated with applications to both artificial data and real data on judged similarity of nations.     

Latent trait models and dichotomization of graded responses

This paper discusses thecompatibility of the polychotomous Rasch model with dichotomization of the response continuum. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum, ranging for example from total rejection or disagreement to total acceptance or agreement of an item or statement. Because of this arbitrariness, the measurement outcome should be independent of the specific polychotomization applied, for example, presenting a specific multicategory response format should not affect the measurement outcome. When such is the case, the original polychotomous model is called compatible with dichotomization.A distinction is made between polychotomization or dichotomization before the fact, that is, in constructing the response format, and polycho- or dichotomization after the fact, for example in dichotomizing existing graded response data.It is shown that, at least in case of dichotomization after-the-fact, the polychotomous Rasch model is not compatible with dichotomization, unless a rather special condition of the model parameters is met. Insofar as it may be argued that dichotomization before the fact is not essentially different from dichotomization after the fact, the value of the unidimensional polychotomous Rasch model is consequently questionable. The impact of our conclusion on related models is also discussed.     

Understanding environments: The key to improving social processes and program outcomes

The contributions to this Special Issue illustrate research on several important types of environmental units, including psychiatric and substance abuse treatment programs, neighborhood block groups, and entire communities. They also exemplify alternative methodologies, such as assessing environments by relying on participants' appraisals, external observers' ratings, historical archives, and direct observation. I draw on these contributions and some of my own work to discuss four recurrent issues: (a) how to conceptualize environmental domains and dimensions; (b) how to understand environmental dynamics, that is, the interplay of environmental factors both within one setting and across settings; (c) how to comprehend the processes that link environmental factors to outcomes, especially with respect to the power and evanescence of environmental influence; and (d) how to use information about environments to monitor and improve them. Increased knowledge in these four areas is essential to help fulfill a major aim of community psychology: to understand social processes and improve intervention program outcomes.     

What is agentic about the Spatial Agency Bias? How pragmatic relevance contributes to the spatial representations of actions

The mental imagination of (social) actions has been shown to follow a left‐to‐right trajectory, with the thematic agent associated with the left position (Spatial Agency Bias, Suitner & Maass in Advances in Experimental Social Psychology, 53, 2016, p. 245–301). For example, individuals asked to choose a picture that visualizes the sentence “Tom kicks George” tend to choose an image where the agent, Tom, is positioned on the left‐hand side rather than on the right‐hand side. However, as an alternative to the thematic role of the agent, such findings may reflect a mental representation following pragmatic relevance. Specifically, a pragmatic perspective holds that word order and syntactic functions are strategic devices to communicate that the element is important for the sentence. Thus, positioning in the described picture‐matching task may actually reflect the agent's pragmatic relevance instead of agency per se. As a test, we vary whether sentences are written in the active versus the passive voice. Results from five studies indicate that the passive voice results in the tendency to place the agent on the right‐hand side rather than on the left‐hand side of a picture. Instead, the acted‐upon person is positioned on the left‐hand side of a picture. A sixth experiment reveals that for the passive voice, the agent is still seen as more agentic than the receiver, but is considered less relevant. The findings are congruent with the proposed pragmatic relevance account. Implications for the Spatial Agency Bias as well as for building mental representations in general are discussed.     

青少年自我描述归类与人格维度特点

对青少年自我描述的内容进行归类时发现,依据不同的归类标准会得到不同的人格结构。500多名青少年学生提供了620个不同的对自我的描述,除9个项目属于对身体和家庭状况的描述外,所有的人格特征既可以归属到中国青少年人格结构的19个二级因素,又可以归属到西方大五人格结构的30个层面。这一结果表明,外显的人格特征分类无法准确表达人格结构的实际构成,人格结构的确定还需要实证评定及对内隐结构的探索。文中还讨论了心理学研究中国化（本土化）的思路与策略。     

Health and Aging: A Perspective from the Far East

Singapore is an urban, highly industrialized country in South East Asia. By 2030, one-fifth of the population is projected to be composed of citizens aged above 65 years. Research on aging has largely focused on the effects of deteriorating physical ability on daily functioning capabilities (Iwarsson & Isacsson, 1997; Warr, 1995). More recently, the role of self-perceived usefulness, competence and control on well-being in the elderly have been investigated (Heberlein, Licht & Licht, 1999; Ranzjin, Keeves, Luszcz, & Feather, 1998). In other fields, activity and involvement have been identified as effective coping devices (Nair, 1989; Shalit, 1988). The present study compared the conceptual understanding of the esteem and well-being of the elderly on the dimensions of activity, involvement, and control, as viewed by an undergraduate sample (n = 60) and a cross-section of seniors (n = 71). Three separate factor analyses reflected interesting variations in the conceptual frameworks.     

艾森克人格问卷简式量表中国版(EPQ-RSC)的修订

该文引进艾森克人格问卷简式量表（EPQ-RShortScale,EPQ-RS）,首次在国内加以修订。根据来自30个省市56个地区的8637人（含汉族7725人）的样本数据,修订形成了艾森克人格问卷简式量表中国版（EPQ-RSC）,共包括4个分量表,各12个项目,这一形式和EPQ-RS相同。作者并基于本研究的样本提供了EPQ-RSC的中国常模。研究表明该问卷的E、N和L三个分量表具有令人满意的信度和效度,P量表的信度和效度基本达到有关的心理测量学标准。作者最后对此问卷的信效度结果以及问卷结果反映的当代中国人人格特点进行了讨论。     

Flexibility over automaticity: Separable representations for colours and words

This study demonstrates that associations between colour words and the colours they denote are not mandatory. Experiments 1–3 used a go/no-go task in which participants responded to one print colour and one word and withheld response from another print colour and another word. In Experiment 1, the content of the words denoted noncolour entities. In Experiment 2 the two words denoted two colours that were different from the target print colours. In Experiment 3, the words denoted the same colours as the target print colours but each response set included incompatible print colour and word (e.g., one response to the print colour blue and the word “green” and another response to the print colour green and the word “blue”). Participants performed equally well in all the experiments. Experiment 4a used Arabic digits and words denoting numbers, two formats that are known to have shared representations. Here, participants had difficulties separating their responses to the digits and words. These results suggest that representations of words are distinct from the content that they represent, supporting the existence of distinct verbal and colour modules.     

Reasoning with Factors

The paper proposes an analysis and a formalisation of factor-based reasoning. After examining the relevance of factors in legal reasoning, binary and scalable factors (dimensions) are distinguished and the relations between them are discussed. An account of a fortiori reasoning with both types of factors is developed. This article reports ideas which are discussed and developed in Sartor (2005). We refer to the latter work for the theoretical framework in which our analysis of factors is embedded.     

A note on the equivalence of the graded response model and the sequential model

This paper concerns items that consist of several item steps to be responded to sequentially. The item scoreX is defined as the number of correct responses until the first failure. Samejima's graded response model states that each steph=1,...,m is characterized by a parameterb _h , and, for a subject with ability, Pr(Xh; )=F(–b _h ). Tutz's general sequential model associates with each step a parameterdh, and it states that Pr(Xh;)= _r ^=1h G(–d _r ). Tutz's (1991, 1997) conjectures that the models are equivalent if and only ifF(x)=G(x) is an extreme value distribution. This paper presents a proof for this conjecture.