Assessing the Verbal Behavior of Conduct Problem Children During Mother-Child Interactions:

In this study we compared the verbal behavior of 4 to 8-year-old conduct problem and normal children in interactions with their mothers in the Child-Directed Interaction phase of the Dyadic Parent-Child Interaction Coding System (Eyberg & Robinson, 1983). It was predicted that conduct problem children would use less praise, ask fewer questions, make more critical statements, and give more commands during interactions with their mothers than normal children. Results support two of these four predictions, with conduct problem children using fewer questions and less praise. Implications for the assessment and treatment of conduct problems as well as how these verbal behaviors may develop from problem parent-child interactions are discussed.     

Artists as experts in visual cognition

This study addressed the question of how artists differ from non-artists in visual cognition. Four perception and twelve drawing tasks were used. Artists outperformed non-artists on both kinds of tasks. Regression analyses revealed common visual processes in the two kinds of tasks and unique variance in the drawing tasks. The advantage of artists over non-artists was apparently in the way they perceptually analysed as well as in how they drew. The perceptual advantage seems to be closely linked to the activity of drawing and is discussed with reference to artists' extensive experience in visual interaction with objects and images during drawing. Artists appear to be more proficient at using visual analytic procedures that are qualitatively similar to those of novices, unlike experts in many other domains.     

A set of high quality colour images with Spanish norms for seven relevant psycholinguistic variables: The Nombela naming test

ABSTRACT

This paper presents a new corpus of 140 high quality colour images belonging to 14 subcategories and covering a range of naming difficulty. One hundred and six Spanish speakers named the items and provided data for several psycholinguistic variables: age of acquisition, familiarity, manipulability, name agreement, typicality and visual complexity. Furthermore, we also present lexical frequency data derived internet search hits. Apart from the large number of variables evaluated, these stimuli present an important advantage with respect to other comparable image corpora in so far as naming performance in healthy individuals is less prone to ceiling effect problems. Reliability and validity indexes showed that our items display similar psycholinguistic characteristics to those of other corpora. In sum, this set of ecologically valid stimuli provides a useful tool for scientists engaged in cognitive and neuroscience-based research.     

我国运动员主观幸福感内部结构及外部影响因素研究

通过探索我国运动员主观幸福感的内部结构,并对我国运动员主观幸福感的外部影响因素进行分析。研究结果发现,我国运动员主观幸福感由7个二级指标及38个三级指标构成,其中负性情感、生活环境、训练竞赛、人际关系等二级指标对我国运动员主观幸福感有重要影响。竞赛水平的发挥、教练员对运动员的公平性、运动员伤残补偿制度建设、运动队管理方式、运动成绩提升空间等三级指标是影响运动员幸福感的重要外部因素。     

Contextualizing rape: Reviewing sequelae and proposing a culturally inclusive ecological model of sexual assault recovery

Consistent evidence demonstrates that many women who encounter the trauma of rape experience a range of both acute reactions and chronic psychological sequelae. This article reviews both the short- and long-term psychological adjustment issues associated with rape. In addition, we propose a culturally inclusive ecological model of sexual assault recovery (CIEMSAR), which integrates and extends existing models to better examine the complex factors leading to differential postrape adjustment. Important components of the CIEMSAR are placing rape in the broader sociocultural context of the United States and explicated socioracial and ethnic factors influencing the recovery process. The five primary factors of CIEMSAR are outlined, including (a) macrosystem or sociocultural context factors; microsystem/individual factors such as (b) assault characteristics, (c) person variables, (d) coping responses; and mesosystems factors such as (e) social-support systems. Suggestions for future research are also provided.     

Unsupervised Classification During Time-Series Model Building

Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in that it does not assume homogeneity in processes across individuals in terms of the patterns or weights of temporal effects. However, it can be difficult to make inferences from the nuances in varied individual-level patterns. The present article introduces an algorithm that arrives at subgroups of individuals that have similar dynamic models. Importantly, the researcher does not need to decide the number of subgroups. The final models contain reliable group-, subgroup-, and individual-level patterns that enable generalizable inferences, subgroups of individuals with shared model features, and individual-level patterns and estimates. We show that integrating community detection into the GIMME algorithm improves upon current standards in two important ways: (1) providing reliable classification and (2) increasing the reliability in the recovery of individual-level effects. We demonstrate this method on functional MRI from a sample of former American football players.     

Processes in acceptance and commitment therapy and the rehabilitation of chronic fatigue

Acceptance and commitment therapy (ACT) has never been tested for patients with chronic fatigue. We aimed to test if a 3.5‐week ACT rehabilitation program for patients with chronic fatigue improved quality of life (QoL), fatigue, and psychological flexibility. Further, to test if improvements in QoL and fatigue were associated with improvement in psychological flexibility, and if psychological flexibility explained variance above and beyond maladaptive cognitions typically targeted in CBT for fatigue. Patients (n = 140) who had been on sick leave > 8 weeks due to chronic fatigue received a 3.5‐week non‐controlled inpatient rehabilitation program based on ACT. A physician and a psychologist examined the patients, assessing medication use and SCID‐I diagnoses. Patients completed questionnaires about somatic complaints, psychological complaints, and maladaptive cognitions before and after treatment. At post‐treatment, patients reported improved QoL (p < 0.001; g = 1.07) and less fatigue (p < 0.001; g = 1.08), but not increased psychological flexibility (p = 0.6). Changes in psychological flexibility was associated with improved QoL, but not fatigue, in hierarchical regression analyses. When adjusting for other cognitions, changes in fear‐avoidance cognitions and all‐or‐nothing thoughts, but not psychological flexibility, were associated with improved QoL and fatigue. The ACT‐based treatment improved QoL and reduced fatigue for patients with chronic fatigue with large effect sizes. Improvement was associated with a reduction in fear‐avoidance cognitions and all‐or‐nothing thoughts, but not psychological flexibility.     

当今高校新生的主要心理问题及辅导策略

为深入认识当今高校新生的心理问题,探究学生辅导策略,本研究用SCL-90对来自全国各地的6619名2004级江西高校新生做深入调查,发现新生群体的心理问题广泛存在,强迫症状尤其严重,并具体分析了心理问题的社会、教育及新生自身等多方原因,还进一步提出了提高自觉性、强化针对性和增强协调性的学生辅导策略。     

Probabilistic Disjoint Principal Component Analysis

One of the most relevant problems in principal component analysis and factor analysis is the interpretation of the components/factors. In this paper, disjoint principal component analysis model is extended in a maximum-likelihood framework to allow for inference on the model parameters. A coordinate ascent algorithm is proposed to estimate the model parameters. The performance of the methodology is evaluated on simulated and real data sets.