Metaphor and the violent

During the treatment of violent individuals who were, incidentally, highly verbal, the authors noticed that physical assaults were often preceded by the perpetrator s use of metaphors. It was observed that the linguistic metaphors failed to function as ordinary as if devices and became concretised. When this occurred, the perpetrators resorted to a physical attack. In this paper, the authors argue that the capacity to interconnect (which is considered to be the essence of psychic work) is dependent upon what can be conceptualised as a primary mental frame or warp. Distortion of the warp will, in turn, weaken the weaving, or interconnecting function of the ego, which is considered analogous to the interconnecting in linguistic metaphors. Clinical material from the treatment of three violent men (two in psychotherapy and one in analysis) is used to illustrate the hypothesis that the concretised use of metaphor represents a restitutive, but failed attempt to maintain a psychic coherence in the face of an imminent breakdown.     

重参数化的多分属性诊断分类模型及其判准率影响因素

多分属性比传统的二分属性提供更多更详细的诊断反馈信息, 符合对知识技能的多水平要求, 具有较好的应用前景。本文首先介绍了多分属性和多分Q矩阵的概念; 之后重参数化了3个分别满足连接、分离和补偿缩合规则的多分属性诊断分类模型并研究了其判准率影响因素, 结果发现它们的判准率(1)均随多分属性数量的增加而降低, 建议实际使用中不宜高于5个; (2)均随多分属性的最高水平数增加而降低, 建议实际使用中不宜高于4水平; (3)均随多分属性间统计相关性增加而增加, 但影响不大; (4)受多分属性层级结构的影响较大; (4)受被试量影响不大; (5)均随题目数量增加而增加且影响较大。最后, 针对“多分属性与多级评分的关系”和“多分属性与二分属性之间的关系”这两个问题进行了讨论。以期为实证研究者提供相关的理论支持和使用建议。     

等级数据的测量不变性检验及影响因素模拟研究

研究介绍了针对等级数据的模型建构（LRV,潜在反应变量模型）和参数估计（WLSMV）方法,以及在此基础上的测量不变性检验（DIFFTEST）方法,同时采用蒙特卡洛模拟研究方法,考察样本总量大小、组间样本量对比情况、阈值差异程度、量表长度等因素,对DIFTEST进行针对等级数据的测量不变性检验效果的影响情况,以及WLSMV估计方法下的参数复原情况。研究结果发现WLSMV估计方法参数的复原效果很好;DIFFTEST的一类错误概率达到可接受水平,在大样本情况下、组间样本量基本相等、阈值差异程度较大时,DIFFTEST检测力较好。在控制测量不变性遭受破坏的项目个数情况下,随着测验长度的增加,DIFFTEST的检测力下降。     

Algebras and Matrices for Annotated Logics

We study the matrices, reduced matrices and algebras associated to the systems SA_T of structural annotated logics. In previous papers, these systems were proven algebraizable in the finitary case and the class of matrices analyzed here was proven to be a matrix semantics for them.We prove that the equivalent algebraic semantics associated with the systems SA_T are proper quasivarieties, we describe the reduced matrices, the subdirectly irreducible algebras and we give a general decomposition theorem. As a consequence we obtain a decision procedure for these logics.     

False Though Partly True – An Experiment in Logic

We explore in an experimental spirit the prospects for extending classical propositional logic with a new operator P intended to be interpreted when prefixed to a formula as saying that formula in question is at least partly true. The paradigm case of something which is, in the sense envisaged, false though still partly true is a conjunction one of whose conjuncts is false while the other is true. Ideally, we should like such a logic to extend classical logic – or any fragment thereof under consideration – conservatively, to be closed under uniform substitution (of arbitrary formulas for sentence letters or propositional variables), and to allow the substitutivity of provably equivalent formulas salva provabilitate. To varying degrees, we experience some difficulties only with this last (congruentiality) desideratum in the two four-valued logics we end up giving our most extended consideration to.     

A taxonomy of latent structure assumptions for probability matrix decomposition models

A taxonomy of latent structure assumptions (LSAs) for probability matrix decomposition (PMD) models is proposed which includes the original PMD model (Maris, De Boeck, & Van Mechelen, 1996) as well as a three-way extension of the multiple classification latent class model (Maris, 1999). It is shown that PMD models involving different LSAs are actually restricted latent class models with latent variables that depend on some external variables. For parameter estimation a combined approach is proposed that uses both a mode-finding algorithm (EM) and a sampling-based approach (Gibbs sampling). A simulation study is conducted to investigate the extent to which information criteria, specific model checks, and checks for global goodness of fit may help to specify the basic assumptions of the different PMD models. Finally, an application is described with models involving different latent structure assumptions for data on hostile behavior in frustrating situations.Note: The research reported in this paper was partially supported by the Fund for Scientific Research-Flanders (Belgium) (project G.0207.97 awarded to Paul De Boeck and Iven Van Mechelen), and the Research Fund of K.U. Leuven (F/96/6 fellowship to Andrew Gelman, OT/96/10 project awarded to Iven Van Mechelen and GOA/2000/02 awarded to Paul De Boeck and Iven Van Mechelen). We thank Marcel Croon and Kristof Vansteelandt for commenting on an earlier draft of this paper.     

Parents’ perceptions of driver education: A theoretically guided qualitative investigation

In many jurisdictions with Graduated Driver Licensing systems, such as those in North America, Australia, and New Zealand, parents play an important role in teaching their child how to drive and facilitating their access to formal driver education. This study explored parents’ views on these processes in a theoretically grounded manner using the Goals for Driver Education (GDE) Framework. The GDE framework groups influences on young driver behaviour into four interconnected hierarchical levels: vehicle manoeuvring (Level 1), mastery of traffic situations (Level 2), goals and contexts for driving (Level 3) and goals for life and skills for living (Level 4). Fourteen parents of novice drivers participated in five focus groups held in urban and regional locations in South East Queensland, Australia. A six-step thematic analysis was used consisting of (1) familiarisation with the data, (2) generation of initial codes, (3) searching for themes, (4) reviewing themes, (5) defining and naming themes and (6) producing the report. Parents indicated that they were more likely to outsource the teaching of skills at Levels 1 and 2 of the GDE to professional driving instructors as they were concerned that they would pass bad habits onto their child or they were unaware of the road rules that their child was required to follow. Parents believed that they were able to more effectively teach skills located on Levels 3 and 4 of the GDE framework because they had a greater knowledge of their child when compared with professional educators. The study findings can be used to develop an intervention that would support parents to more effectively supervise learner drivers.     

A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation

The misclassification error distance and the adjusted Rand index are two of the most common criteria used to evaluate the performance of clustering algorithms. This paper provides an in-depth comparison of the two criteria, with the aim of better understand exactly what they measure, their properties and their differences. Starting from their population origins, the investigation includes many data analysis examples and the study of particular cases in great detail. An exhaustive simulation study provides insight into the criteria distributions and reveals some previous misconceptions.     

Riemannian Newton and trust-region algorithms for analytic rotation in exploratory factor analysis

In exploratory factor analysis, latent factors and factor loadings are seldom interpretable until analytic rotation is performed. Typically, the rotation problem is solved by numerically searching for an element in the manifold of orthogonal or oblique rotation matrices such that the rotated factor loadings minimize a pre-specified complexity function. The widely used gradient projection (GP) algorithm, although simple to program and able to deal with both orthogonal and oblique rotation, is found to suffer from slow convergence when the number of manifest variables and/or the number of latent factors is large. The present work examines the effectiveness of two Riemannian second-order algorithms, which respectively generalize the well-established truncated Newton and trust-region strategies for unconstrained optimization in Euclidean spaces, in solving the rotation problem. When approaching a local minimum, the second-order algorithms usually converge superlinearly or even quadratically, better than first-order algorithms that only converge linearly. It is further observed in Monte Carlo studies that, compared to the GP algorithm, the Riemannian truncated Newton and trust-region algorithms require not only much fewer iterations but also much less processing time to meet the same convergence criterion, especially in the case of oblique rotation.     

A response to William Meredith-Owen’s ‘Alchemical dragons: Winnicott’s reaching towards the objective psyche’

This paper was presented as a response to Meredith-Owen’s paper at the inaugural joint conference of The Society of Analytical Psychology and the West Midlands Institute of Psychotherapy in autumn 2020. The author considers the constraints on the personal mother’s capacity to facilitate the integration of both the shadow and the unrepressed unconscious. Such a difficult task requires the involvement of an enabling cultural matrix mediated by socio-political systems and structures. The improvement of this cultural matrix relies on alchemical-like processes which would help understanding develop beyond one’s own point of view.