Treating family relational trauma: a recursive process using a decision dialogue

This article describes a therapeutic process that combines individual and family sessions to maximize therapeutic opportunities to bring forward, understand, validate, and empower children's experience as equal participants in family therapy. The aim is to strengthen relational bonds within the family. Drawing from earlier work with families where incest had occurred, the authors present a recursive process that utilizes a "decision dialogue" to link individual and family sessions. Clinical examples are provided.     

The value of distrust

We assume that a state of distrust is the mental system’s signal that the environment is not normal—things may not be as they appear. Hence, individuals sense they should be on guard. In particular, they are likely to avoid routine strategies, ones proven to be optimal and regularly used in normal environments, because these strategies are easily anticipated by whoever may be seeking to deceive them. Conversely, a state of trust is associated with a feeling of safety. The environment is as it normally is and things really are as they appear to be. Thus, individuals see no reason to refrain from doing what they routinely do. Accordingly, we hypothesize that figuring out a new situation depends on the type of environment and the actor’s state of mind: in normal environments, where routine strategies are optimal, individuals who trust should outperform those who distrust; however, in unusual environments, where non-routine strategies are optimal, individuals who distrust should outperform those who trust. This paper reports three experiments that manipulate distrust via orienting tasks that participants perform prior to attempting to predict a series of events (Experiments 1 and 2) or solve matchstick arithmetic problems (Experiment 3). Performance success depends on discovering and implementing an appropriate rule. We found that, as predicted, the manipulation of distrust sensitized participants to the existence of non-routine contingencies, that is, contingencies that were not expected.     

Selective exposure and decision framing: The impact of gain and loss framing on confirmatory information search after decisions

When people make decisions, they often prefer to receive information that supports rather than conflicts with their decision. To date, this effect has mainly been investigated in the context of decisions about gains, whereas decisions about losses have received less attention. Based on Prospect Theory, we expected information search to be differently affected by whether people previously have decided about gains or losses. Three studies have revealed that selectivity of information search is stronger after gain-framed rather than after loss-framed decision problems. An investigation of the underlying psychological processes revealed that gain decisions are made with increased subjective decision certainty (i.e. they are easier and less effortful to make), which in turn systematically increases confirmatory information search.     

Comparison of decision learning models using the generalization criterion method

It is a hallmark of a good model to make accurate a priori predictions to new conditions ( Busemeyer & Wang, 2000 ). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the parameters for each participant from 1 task and using those same parameters to predict on the other task. Three methods were used to evaluate the models at the individual level of analysis. The first method used a post hoc fit criterion, the second method used a generalization criterion for short-term predictions, and the third method again used a generalization criterion for long-term predictions. The results suggest that the models with the prospect utility function can make generalizable predictions to new conditions, and different learning models are needed for making short-versus long-term predictions on simple gambling tasks.     

A Comparison of the Factorial Structure of DSM-IV Criteria for Generalized Anxiety Disorder Between Younger and Older Adults

The controversy concerning the validity and reliability of generalized anxiety disorder (GAD) appears to be particularly relevant in the elderly, since physical symptoms associated with GAD can readily be considered as the consequences of normal aging. This study aims to analyze the structure invariance of a questionnaire assessing the DSM-IV diagnostic criteria across samples of older adults and college students. Ninety-seven adults aged 65 or over and 130 college students completed the Worry and Anxiety Questionnaire (WAQ). The results revealed that factorial invariance could be assumed and, in addition, that scores for severity of GAD symptoms were higher in younger subjects than in older ones. The results support the applicability of DSM-IV criteria for GAD in elderly people, as the factorial structure of the WAQ was the same for this age group as for younger adults. A higher degree of GAD severity was found in the younger sample.

Decision making and strategies in an interaction situation: Collision avoidance at sea

This paper aims at analysing decisions which are actually made by watch officers onboard ferries in the Dover Strait. More precisely, it aims at characterizing the generic situations in which several courses of actions are available and identifying the strategy underlying an action choice. Relying on the RPD model of Klein [Klein, G. (1997). The recognition-primed decision (RPD) model: Looking back, looking forward. In C. E. Zsambok & G. Klein (Eds.), Naturalistic decision making (pp. 285–292). Mahwah: Lawrence Erlbaum Associates], it points out the critical cues, the goals of actors and the rules they use.Two sets of data were processed: motions of vessels observed from the vessel traffic system and verbal protocols recorded onboard a ferry with three watch officers.Logistic regression models show that different types of ships do not act in the same way: the slowest vessels tend to keep their course and speed, even if they have to move. The faster cargo ships such as ferries alter their course in compliance with the regulations. In some situations, a ferry may nevertheless follow informal rules. Onboard a ‘give way’ ferry, a watch officer may – in some conditions – alter his course to port rather than to starboard to reduce the course alteration and the loss of time. On board the ‘stand on’ vessel, he may perform an action in order to master the situation, even if the rule requires him to keep his course and speed.     

Kernel principal component analysis combining rotation forest method for linearly inseparable data

Rotation forest (RoF) is an ensemble classifier combining linear analysis theories and decision tree algorithms. In recent existing works, RoF was widely applied to various fields with outstanding performance compared to traditional machine learning techniques, given that a reasonable number of base classifiers is provided. However, the conventional RoF algorithm suffers from classifying linearly inseparable datasets. In this study, a hybrid algorithm integrating kernel principal component analysis (KPCA) and the conventional RoF algorithm is proposed to overcome the classification difficulty for linearly inseparable datasets. The radial basis function (RBF) is selected as the kernel for the KPCA method to establish the nonlinear mapping for linearly inseparable data. Moreover, we evaluate various kernel parameters for better performance. Experimental results show that our algorithm improves the performance of RoF with linearly inseparable datasets, and therefore provides higher classification accuracy rates compared with other ensemble machine learning methods.     

生存质量在晚期肿瘤疗效评价中的思考

传统的肿瘤疗效评价方法多采用治愈率、生存率等指标来衡量。随着传统医学模式向生物一心理一社会医学模式转变,生存质量越来越受到重视。生存质量从一个新的角度评价治疗效果,更重视患者的主观感受,而不是仅将临床客观指标作为评价标准,能更客观地指导治疗方案的选择。