柯林斯语义层次网络模型的实验研究

应用语义验证法对柯林斯与奎利安的语义层次网络模型进行研究,结果表明:(1)柯林斯等人的语义层次网络模型不完全适用于人脑的信息加工;(2)被试对主语所指称客体的熟悉程度是决定语义验证时间的一个重要因素;(3)被试提取概念各属性的时间并非完全由属性储存的位置决定的。     

The logic of the medical research article

As do all forms of science, medical theories have a factual as well as a logical basis. New information is presented in medical research articles. These papers have three separate arguments: the argument of the hypothesis, the argument of the experimental protocol, and the argument of the hypothesis's judgment. These arguments may be examples of the hypothetico-deductive or confirmational model of scientific inference. The logical form of these arguments are informal and inductive rather than formal and deductive. Understanding the nature of the logic of the medical research article may help avoid erroneous conclusions.     

Clinicians and supervisors' experiences with developing practices of open dialogue in network meetings in public mental health services

Open Dialogue is a dialogical approach focusing on the perspectives of patients and their social networks on treatment and recovery processes. As part of a larger research project, this prospective cohort study explores what promotes and hinders the development of Open Dialogue in network meetings (ODNM) based on the experiences of thirty-seven clinicians and seven supervisors. Multistage focus group interviews were used to collect data and were analysed thematically. We generated two main themes: (1) togetherness and isolation and (2) challenging and evolving. The findings show that ODNM can be developed in public mental healthcare, but this leads to both challenges and opportunities at the organisational level, such as conflicting perspectives, the difficulty of maintaining interest in ODNM, the need for committed and involved leaders, and the growing change in the traditional view of treatment, which has made clinicians collaborate more with patients and their relatives.     

Coding infant engagement in the Face-to-Face Still-Face paradigm using deep neural networks

BackgroundThe Face-to-Face Still-Face (FFSF) task is a validated and commonly used observational measure of mother-infant socio-emotional interactions. With the ascendence of deep learning-based facial emotion recognition, it is possible that common complex tasks, such as the coding of FFSF videos, could be coded with a high degree of accuracy by deep neural networks (DNNs). The primary objective of this study was to test the accuracy of four DNN image classification models against the coding of infant engagement conducted by two trained independent manual raters.Methods68 mother-infant dyads completed the FFSF task at three timepoints. Two trained independent raters undertook second-by-second manual coding of infant engagement into one of four classes: 1) positive affect, 2) neutral affect, 3) object/environment engagement, and 4) negative affect.ResultsTraining four different DNN models on 40,000 images, we achieved a maximum accuracy of 99.5% on image classification of infant frames taken from recordings of the FFSF task with a maximum inter-rater reliability (Cohen's κ-value) of 0.993.LimitationsThis study inherits all sampling and experimental limitations of the original study from which the data was taken, namely a relatively small and primarily White sample.ConclusionsBased on the extremely high classification accuracy, these findings suggest that DNNs could be used to code infant engagement in FFSF recordings. DNN image classification models may also have the potential to improve the efficiency of coding all observational tasks with applications across multiple fields of human behavior research.     

The organization of construal networks and functional adaptation

This review examined the association of construal network organizations with functional adaptation and psychological well-being. Recent neuropsychological research supports the presence of distinct construal networks in the brain that organize action at different levels of goals and tasks. Construal networks are sets of connected construals, or mental representations of objects, events, and behaviors. Little attention, however, has been given to how the organization of construal networks promotes functional adaptation. Cognitive processes, construal levels, personal meaning, cultures, and situations influence the configurations of construal networks. The reviewed evidence indicated that construal network organization facilitates functional adaptation and well-being, either though the coherence or fit of the assembled construals with each other or through the mediation of their fit with situations or contexts, like a culture. This review goes beyond previous studies by describing the constructive, creative, and hypothetical aspects of construal organizations and their effects on functional adaptation and psychological well-being.     

A Brief History of Metacognitive Therapy: From Cognitive Science to Clinical Practice

Metacognitive therapy (MCT) is proving to be an effective treatment for anxiety and depression with effects that may exceed CBT. It has been described as a paradigm shift in psychotherapy in its theory-driven cognitive science approach and systematic development and evaluation. MCT was developed by Adrian Wells based on an information processing theory, the Self-Regulatory Executive Function model by Wells and Matthews. MCT theory formulates psychological disorders as sharing common causal factors under the influence of metacognition, representing a particular top-down model of biases in cognitive regulation. A key clinical implication was that a core set of interventions could be developed to impact a wide range of symptoms and disorders. In this paper, we trace the historical development of MCT and the major studies that informed theory and practice with the aim of introducing clinicians and researchers to this area and to understand why the metacognitive approach has developed into a treatment that is proving to be potentially more effective than current gold-standard treatments. In doing so, we will draw out the distinctive features of the approach and explore how this might offer a blueprint for scientific advancement in clinical psychology and psychotherapy.     

Self-compassion reduces parental burnout: Mediation roles of parental psychological control and support

This study investigated the mediating role of parental psychological control (PPC) and support in the relationship between self-compassion and parental burnout syndrome. The study participants included 1185 Vietnamese parents who completed questionnaires regarding demographic information, parental burnout, self-compassion, parental support of the child, and PPC. We used data analyses, including structural equation modeling, to test the mediation roles of PPC and parental support of the child. Our main findings include: (1) self-compassion had a significant negative effect on parental burnout; (2) the mediation roles of PPC and parental support of the child were also significant. These results suggest that parents with high self-compassion tend to provide more support for children in daily parenting, which helps reduce parental burnout. In contrast, parents with low self-compassion were more likely to use PPC, which exacerbated their burnout. The results from this study provide suggestions for creating effective interventions in the family context to reduce parental burnout and improve parenting effectiveness.     

Dyadic processes of relational turbulence theory

This study tested dyadic processes of relational turbulence theory (RTT) in heterosexual marriages. We tested propositions 1, 2, and 5 of RTT, which propose that uncertainty about the marriage biases cognitive appraisals, and that interference from a partner heightens negative emotions, both of which culminate in relational turbulence for spouses. Guided by these propositions, husbands' and wives' (N = 510; 255 marital dyads) dyadic cognitive and emotional processes were estimated using the actor-partner interdependence mediation model. Consistent with theoretical propositions, we found evidence for actor-actor indirect effects; for both husbands and wives (a) the effect of spouses' relationship uncertainty on their own relational turbulence was mediated by their own biased cognitive appraisals, and (b) the effect of spouses' experienced interference on their own relational turbulence was mediated by their own anger from communicating in the marriage. However, controlling for actor-actor indirect effects, partner-defined processes (i.e., actor-partner and partner-actor indirect effects) uniquely explained husbands' and wives' relational turbulence.     

Moral bias toward different social classes

The influence of social class on prosocial behaviour has long been a focus of intense research interest. The present research involved four studies that covered four moral exemplars (villains, victims, heroes, and beneficiaries) to test whether people of different social classes are treated equally in moral judgements. We described moral events experienced by different agents of varying social classes and asked participants to rate the morality of the events and their emotional responses. The results revealed that compared with the low-class condition, high-class individuals had an overall moral disadvantage when they were regarded as villains, victims, and beneficiaries. For the exemplar of hero, the high-class condition was no different from the low-class condition except that high-class heroes evoked less elevation than low-class heroes. The results reveal that people hold a biased moral attitude toward individuals in different social classes.