Hierarchical Classes Modeling of Rating Data

Hierarchical classes (HICLAS) models constitute a distinct family of structural models for N-way N-mode data. All members of the family include N simultaneous and linked classifications of the elements of the N modes implied by the data; those classifications are organized in terms of hierarchical, if–then-type relations. Moreover, the models are accompanied by comprehensive, insightful graphical representations. Up to now, the hierarchical classes family has been limited to dichotomous or dichotomized data. In the present paper we propose a novel extension of the family to two-way two-mode rating data (HICLAS-R). The HICLAS-R model preserves the representation of simultaneous and linked classifications as well as of generalized if–then-type relations, and keeps being accompanied by a comprehensive graphical representation. It is shown to bear interesting relationships with classical real-valued two-way component analysis and with methods of optimal scaling. The research reported in this paper was supported by the Research Fund of the University of Leuven (GOA/00/02 and GOA/05/04) and by the Fund for Scientific Research-Flanders (project G.0146.06). Eva Ceulemans is a Post-doctoral Researcher supported by the Fund for Scientific Research, Flanders. The authors gratefully acknowledge the help of Gert Quintiens and Kaatje Bollaerts in collecting the data used in Section 4 and of Jan Schepers in additional analyses of these data.     

Oppression and empowerment: perceptions of violence among urban youth

Youth violence in the United States has emerged as a major concern for communities, policymakers and community researchers. This paper reports on the efforts of a child mental health clinic to build a community consensus around addressing violence that affects youth and all members of the community. We describe and give case examples regarding our approach to acquiring the perspectives of the community, particularly that of youth, discuss key themes and implications that emerged from our work, and offer preliminary recommendations for designing a youth violence prevention initiative in a disenfranchised community. Copyright © 2007 John Wiley & Sons, Ltd.     

Executive function in paediatric medulloblastoma: The role of cerebrocerebellar connections

Executive functions (EFs) are involved in the attainment, maintenance, and integration of information; these functions may play a key role in cognitive and behavioural outcomes in children treated for medulloblastoma (MB). At present, it remains unclear which EFs are most sensitive to the treatment effects for MB and whether damage to cerebrocerebellar circuitry is associated with EF. We completed a comprehensive evaluation of EF in 24 children treated for MB and 20 age‐matched healthy children (HC) and distilled these measures into components. Six components (C1–C6) were extracted from our model, reflecting dissociable constructs of EF: C1 = cognitive efficiency; C2 = planning/problem‐solving; C3 = positive cognitive emotion regulation; C4 = working memory; C5 = negative cognitive emotion regulation; and C6 = mixed cognitive emotion regulation. Group differences were found for C1, C2, C3, and C4; the MB group showed poorer performance on EF tasks and made less use of positive cognitive emotion regulation strategies relative to HC. Compromise to cerebrocerebellar microstructure – cerebro‐ponto‐cerebellar and cerebello‐thalamo‐cerebral pathways – was evident in children treated for MB compared to HC. We found that cerebrocerebellar circuitry has a mediating effect on one component of EF following treatment for MB – working memory.     

Using support vector machines to identify literacy skills: Evidence from eye movements

Is inferring readers’ literacy skills possible by analyzing their eye movements during text reading? This study used Support Vector Machines (SVM) to analyze eye movement data from 61 undergraduate students who read a multiple-paragraph, multiple-topic expository text. Forward fixation time, first-pass rereading time, second-pass fixation time, and regression path reading time on different regions of the text were provided as features. The SVM classification algorithm assisted in distinguishing high-literacy-skilled readers from low-literacy-skilled readers with 80.3 % accuracy. Results demonstrate the effectiveness of combining eye tracking and machine learning techniques to detect readers with low literacy skills, and suggest that such approaches can be potentially used in predicting other cognitive abilities.     

Use of the high-probability instructional sequence and escape extinction in a child with food refusal

We used the high-probability (high-p) instructional sequence with and without escape extinction in the treatment of food refusal. Acceptance increased and refusal decreased only with the introduction of escape extinction. These results raise important questions about the high-p sequence in the treatment of food refusal.     

Catalyzing the dialogue between the body and the mind in a psychotic analysand

The author presents the analysis of a 23-year-old, obese, psychotic man who was dominated by sensations and unable to work through the different levels of psychic elaboration. He could not discriminate between words and concrete objects or between the perceptual functions of sense organs and the oral-cannibalistic level of instinct. Following the working through of these inabilities, it became possible to understand the patient's use of sensation and to make him aware of his emotions and conflicts. The author's discussion of this material emphasizes the role of the body-mind conflict and how this can be confronted in the analytic relationship. Possible links with neuroscience are also indicated.     

The relationship of environmental concern with public and private pro-environmental behaviours: A pre-registered meta-analysis

Previous meta-analyses identified a gap between environmental concern and pro-environmental behaviours. However, the failure to differentiate these behaviours and the influence of contextual factors may limit understanding of the gap. This pre-registered meta-analysis evaluated the magnitudes of the correlations of environmental concern, as measured by the New Environmental Paradigm of thinking, with public and private pro-environmental behaviours and investigated the moderating roles of sociocultural contexts. Environmental concern was found positively correlated with public pro-environmental behaviour (k = 10, N = 4636; r = 0.27) and private pro-environmental behaviour (k = 31, N = 20,907; r = 0.35). These two pooled correlations did not differ significantly. Institutionalization of environmental protection did not moderate these correlations, while cultural factors, including individualism, long-term orientation, and external control, did. These findings maintain the utility of environmental concern in facilitating different pro-environmental behaviours and highlight the lack of research attention on public pro-environmental behaviour.     

Family Caregiver’s Positive,Negative, and Ambivalent Feelings Towards Stroke Survivors: Association with Psychological Well-Being

Applied Research in Quality of Life - Ambivalence is the simultaneous experience of positive and negative feelings toward a specific person. Recent research suggested ambivalence is negatively...