A method of optimal scaling for multivariate ordinal data and its extensions

This paper develops a method of optimal scaling for multivariate ordinal data, in the framework of a generalized principal component analysis. This method yields a multidimensional configuration of items, a unidimensional scale of category weights for each item and, optionally, a multidimensional configuration of subjects. The computation is performed by alternately solving an eigenvalue problem and executing a quasi-Newton projection method. The algorithm is extended for analysis of data with mixed measurement levels or for analysis with a combined weighting of items. Numerical examples and simulations are provided. The algorithm is discussed and compared with some related methods.Earlier results of this research appeared in Saito and Otsu (1983). The authors would like to acknowledge the helpful comments and encouragement of the editor.     

Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets

Ordinal data occur frequently in the social sciences. When applying principal component analysis (PCA), however, those data are often treated as numeric, implying linear relationships between the variables at hand; alternatively, non-linear PCA is applied where the obtained quantifications are sometimes hard to interpret. Non-linear PCA for categorical data, also called optimal scoring/scaling, constructs new variables by assigning numerical values to categories such that the proportion of variance in those new variables that is explained by a predefined number of principal components (PCs) is maximized. We propose a penalized version of non-linear PCA for ordinal variables that is a smoothed intermediate between standard PCA on category labels and non-linear PCA as used so far. The new approach is by no means limited to monotonic effects and offers both better interpretability of the non-linear transformation of the category labels and better performance on validation data than unpenalized non-linear PCA and/or standard linear PCA. In particular, an application of penalized optimal scaling to ordinal data as given with the International Classification of Functioning, Disability and Health (ICF) is provided.     

Social networks with two sets of actors

Traditional network research analyzes relational ties within a single group of actors: the models presented in this paper involve relational ties exist beteen two distinct sets of actors. Statistical models for traditional networks in which relations are measured within a group simplify when modeling unidirectional relations measured between groups. The traditional paradigm results in a one-mode socionatrix; the network paradigm considered in this paper results in a two-mode socionatrix; A statistical model is presented, illustrated on a sample data set, and compared to its traditional counterpart. Extensions are discussed, including those that model multivariate relations simultaneously, and those that allow for the inclustion of attributes of the individuals in the group.We thank the Editor and two anonymous reviewers for their helpful comments. We are also grateful to George Barnett for allowing us to analyze his data.     

语言范畴可否引起偏侧化颜色范畴知觉？

本研究考查了语言范畴是否会引起偏侧化颜色范畴知觉,并探讨了偏侧化颜色范畴知觉是语言范畴即时分类颜色还是长期与颜色联结的结果。实验中,以测量差别阈限的方法选定的渐变、相邻颜色知觉距离相当的A、B、C、D四种颜色（A、B为绿色,C、D为蓝色）为材料,以色词与颜色重组模式训练被试用4个人造词汇分别命名4种颜色,并让被试在训练前、第一次训练和第八次训练后均完成视觉搜索任务测试。经训练,原范畴内颜色（AB,CD）变成了范畴间颜色,原范畴间颜色（BC）仍为范畴间颜色。结果显示：被试在一次训练后能以新名字区分4种颜色,八次训练后掌握了4种颜色的新名字;在训练前测试中,出现了与蓝绿色相应的偏侧化颜色范畴知觉;在第八次训练后测试中,出现了与习得的语言范畴相应的偏侧化颜色范畴知觉,但在第一次训练后测试中并未出现这一效应。这些结果表明,语言范畴能引起偏侧化颜色范畴知觉,偏侧化颜色范畴知觉是语言范畴长期与颜色联结,而非即时分类颜色的结果。     

偏侧化颜色范畴知觉不依赖于语言?

本研究探讨了偏左脑颜色范畴知觉依赖于语言还是范畴。三组被试分别完成无干扰、语言加工干扰和范畴加工干扰视觉搜索任务。结果发现：无干扰组、语言加工干扰组和范畴加工干扰组的视觉搜索任务中分别出现了偏左脑颜色范畴知觉、左脑劣势颜色范畴知觉和无偏侧化颜色范畴知觉。此结果表明,偏左脑颜色范畴知觉可能主要是语言范畴作为一种范畴对颜色知觉的影响效应,但语言范畴的语言属性也会对颜色知觉产生影响。     

The myth of technology in health care

Technology is believed to have liberated health care from dogmas, myths and speculations of earlier times. However, we are accused of using technology in an excessive, futile and even detrimental way, as if technology is compelling our actions. It appears to be like the monster threatening Dr. Frankenstein or like the socerer’s broom in the hand of the apprentice. That is, the same technology that should liberate us from myths, appears to be mythical. The objective of this article is to investigate the background for the re-entrance of the myth: How we encounter it and how we can explain it. The main point is that a myth of technology is normative: it relates ‘is’ and ‘ought’ and directs our actions. This becomes particularly clear in health care. Hence, if there is a myth of technology, it is an ethical issue, and should be taken seriously.     

国内调节效应的方法学研究

在心理学和其他社科研究领域, 大量实证文章建立调节效应模型, 以分析自变量对因变量的影响是如何随着调节变量的变化而改变。过去10多年, 调节效应分析成了方法学研究的一个热点。从显变量的调节效应、潜变量的调节效应、多层数据的调节效应、基于两层回归模型的单层调节分析、纵向数据的调节效应、调节和中介的整合模型六个主题系统地总结了国内调节效应分析的方法学研究的发展历程。最后对调节效应的未来研究方向做了讨论和拓展。     

Encoding strategy affects false recall and recognition: Evidence from categorical study material

The present research investigated memory vulnerability to distortions. Different encoding strategies were used when categorized lists were studied. The authors assumed that an imagery strategy would be responsible for decreasing false memories more than a word-whispering strategy, which is consistent with the model of semantic access and previous research in the Deese-Roediger-McDermott paradigm (the DRM paradigm; Deese, 1959; Roediger & McDermott, 1995). A normative study of category lists and 4 experiments were conducted to verify the memory vulnerability to different encoding strategies (imagery, word-whispering, control). Half of subjects recalled and half recognized previously studied words. The results revealed a marked reduction in false recognition and recall after imagery encoding, relative to after word-whispering encoding.     

The ethics of complexity and the complexity of ethics

Abstract

In this paper, we investigate the implications that a general view of complexity - i.e. the view that complex phenomena are irreducible - hold for our understanding of ethics. In this view, ethics should be conceived of as constitutive of knowledge and identity, rather than as a normative system that dictates right action. Using this understanding, we elaborate on the ethics of complexity and the complexity of ethics. Whilst the former concerns the nature and the status of our modelling choices, the latter denotes a contingent and recursive understanding of ethics. Although the complexity of ethics cannot be captured in a substantive normative model, we argue that this view of ethics nevertheless commits one to, what we term, ‘the provisional imperative’. Like Kant’s categorical imperative, the provisional imperative is sub-stantively-empty; however, unlike Kant’s imperative, our imperative cannot be used to generate universal ethical principles. As such, the provisional imperative simultaneously demands that we must be guided by it, whilst drawing attention to the exclusionary nature of all imperatives. We further argue that the provisional imperative urges us to adopt a certain attitude with regard to ethical decision-making, and that this attitude is supported and nurtured by provisionality, transgressivity, irony, and imagination.     

Why Care about Being an Agent?

The question ‘Why care about being an agent?’ asks for reasons to be something that appears to be non-optional. But perhaps it is closer to the question ‘Why be moral?’; or so I shall argue. Here the constitutivist answer—that we cannot help but have this aim—seems to be the best answer available. I suggest that, regardless of whether constitutivism is true, it is an incomplete answer. I argue that we should instead answer the question by looking at our evaluative commitments to the exercise of our other capacities for which being a full-blown agent is a necessary condition. Thus, the only kind of reason available is hypothetical rather than categorical. The status of this reason may seem to undermine the importance of this answer. I show, however, that it both achieves much of what we want when we cite categorical reasons and highlights why agency is valuable.