Understanding the social emotional practices of therapists

Emotions are central to the therapy process and skilful use by therapists of client emotion is an essential catalyst to client change. However, the contribution of emotion to the therapy process and how therapists’ social emotional skills are incorporated into psychological practice is still unclear. Using a statistical method for mapping psychological constructs, therapists’ social emotional skills were transformed into a “map” with three spatial dimensions, which was supported by comparative reliability checks. The nature of social emotional skills was further investigated by administering a Q-Sort of emotional practice items to 47 therapists. Ten highly applicable clusters of social emotional skills across seven style patterns with therapists were identified. Tentative links were drawn between demographic data and both clusters and therapist styles. These findings suggest therapists’ social emotional skills can be organised into meaningful clusters and that therapists can be styled according to their responses across these clusters. Furthermore, gaps identified in the model suggest possible “blind spots” in the literature. The implications of these findings are significant for training and practice.     

Integrating brain science research with intelligence research

Understanding the possible causes of differences in intelligence is crucial if children are to achieve their full potential. Such understanding has been hampered until recently, however, because researchers who study intelligence have neglected recent findings in the brain sciences suggesting that the brain develops in response to environmental stimulation. These findings have seemed to contradict intelligence research that suggests that intellectual abilities are inherited. However, the findings from intelligence research and the brain sciences can be integrated if it is accepted that there are individual differences in the process by which the brain adapts to the environment, such that some people's brains are better at adapting than others'. The findings obtained from intelligence research are consistent with this integrated model. Such an integration has implications for better understanding the nature of intelligence.     

Does g variance change in adulthood? Testing the age de-differentiation hypothesis across sex

In the last decade, changes in the structure of intelligence across the life-span has become a central topic in the research on human intelligence. One of the main hypotheses that has arisen to account for such changes has been the age de-differentiation hypothesis [Balinsky, Genetic Psychology Monographs 23 1941, 191]. It predicts an increase in the importance of g, and a decrease in the number and importance of the lower-order abilities from early maturity to senescence. Despite of the research effort to test this hypothesis, no study has ever been conducted controlling by sex. For that purpose, males and females of the Spanish standardisation sample of the WAIS-III were analysed separately. Results show that the importance of g does not change with age irrespective of sex. Thus, the age de-differentiation hypothesis is rejected for both males and females. The indifferentiation hypothesis is supported as a more appropriate view of the changes in the structure of intelligence across adulthood.     

工作记忆、加工速度与流体智力的发展

近几年有关认知发展心理机制的研究成为一个认知发展领域一个颇引人注目的内容．这些研究探讨了年龄、工作记忆、加工速度与流体智力之间的关系。研究发现．在流体智力的发展过程中,工作记忆可能比加工速度发挥着更直接、更一般的作用,而加工速度则对工作记忆的发展起直接调节作用。     

近十年来情绪研究的回顾与展望

本文主要综述了近10年来,情绪心理学研究中所取得的进展和将来的研究趋向。首先介绍了情绪实验研究中实验材料的标准化和成像技术应用的发展概况;其次讨论了情绪智力的构成成分和情绪调节研究的进展;再次分析了情绪和认知之间的交互作用关系;最后探讨了感情系统的加工特征。     

Sparse distributed memory for ‘conscious’ software agents

In this work we are reporting a case study on the use of SDM as the associative memory for a software agent, CMattie, whose architecture is modeled on human cognition. Sparse distributed memory (SDM) is a content-addressable memory technique that relies on close memory items tending to be clustered together. In this work, we used an enhanced version of SDM augmented with the use of genetic algorithms as an associative memory in our ‘conscious’ software agent, CMattie, who is responsible for emailing seminar announcements in an academic department. Interacting with seminar organizers via email in natural language, CMattie can replace the secretary who normally handles such announcements. SDM is a key ingredient in a complex agent architecture that implements global workspace theory, a psychological theory of consciousness and cognition. In this architecture, SDM, as the primary memory for the agent, provides associations with incoming percepts. These include disambiguation of the percept by removing noise, correcting misspellings, and adding missing pieces of information. It also retrieves behaviors and emotions associated with the percept. These associations are based on previous similar percepts, and their consequences, that have been recorded earlier. SDM also possesses several key psychological features. Some enhancements to SDM including multiple writes of important items, use of error detection and correction, and the use of hashing to map the original information into fixed size keys were used. Test results indicate that SDM can be used successfully as an associative memory in such complex agent architectures. The results show that SDM is capable of recovering a percept based on a part of that percept, and finding defaults for empty perception registers. The evaluation of suggested actions and emotional states is satisfactory. We think that this work opens the door to more scientific and empirical uses for SDM.     

Special issue on problem-solving,creativity and spatial reasoning

Problem-solving, creativity and spatial reasoning are high level abilities of cognitive systems with high potential for synergies. However, they have been treated separately by different fields. This special issue presents research work on these topics, aiming to observe their interrelations in order to create theoretical approaches, methodologies and computational tools to advance work on creativity and spatial problem-solving in cognitive systems.     

Elucidating the Functional Relationship Between Working Memory Capacity and Psychometric Intelligence: A Fixed-Links Modeling Approach for Experimental Repeated-Measures Designs

Numerous studies reported a strong link between working memory capacity (WMC) and fluid intelligence (Gf), although views differ in respect to how close these two constructs are related to each other. In the present study, we used a WMC task with five levels of task demands to assess the relationship between WMC and Gf by means of a new methodological approach referred to as fixed-links modeling. Fixed-links models belong to the family of confirmatory factor analysis (CFA) and are of particular interest for experimental, repeated-measures designs. With this technique, processes systematically varying across task conditions can be disentangled from processes unaffected by the experimental manipulation. Proceeding from the assumption that experimental manipulation in a WMC task leads to increasing demands on WMC, the processes systematically varying across task conditions can be assumed to be WMC-specific. Processes not varying across task conditions, on the other hand, are probably independent of WMC. Fixed-links models allow for representing these two kinds of processes by two independent latent variables. In contrast to traditional CFA where a common latent variable is derived from the different task conditions, fixed-links models facilitate a more precise or purified representation of the WMC-related processes of interest. By using fixed-links modeling to analyze data of 200 participants, we identified a non-experimental latent variable, representing processes that remained constant irrespective of the WMC task conditions, and an experimental latent variable which reflected processes that varied as a function of experimental manipulation. This latter variable represents the increasing demands on WMC and, hence, was considered a purified measure of WMC controlled for the constant processes. Fixed-links modeling showed that both the purified measure of WMC (β = .48) as well as the constant processes involved in the task (β = .45) were related to Gf. Taken together, these two latent variables explained the same portion of variance of Gf as a single latent variable obtained by traditional CFA (β = .65) indicating that traditional CFA causes an overestimation of the effective relationship between WMC and Gf. Thus, fixed-links modeling provides a feasible method for a more valid investigation of the functional relationship between specific constructs.     

Emotional maturity,dispositional coping,and coping effectiveness among adolescent athletes

ObjectivesAlthough some scholars have suggested that coping is constrained by emotional maturity, little is known about the relationship between these constructs. In this paper we assessed a model that included emotional maturity, dispositional coping, and coping effectiveness. We predicted that emotional maturity would have a direct effect on coping effectiveness in addition to an indirect effect via task-, distraction-, and disengagement-oriented coping.DesignCross-sectional.MethodsSeven hundred and ninety athletes completed measures of emotional maturity, dispositional coping, and coping effectiveness. The data was analyzed using structural equation modeling, which revealed partial support for our model.ResultsSeveral of the predicted paths were significant. In particular, there was a significant path between emotional maturity and task-oriented coping, but the paths between emotional maturity and distraction- and disengagement-oriented coping were not significant.ConclusionOur findings indicate that how an athlete copes might be limited by his or her level of emotional maturity, which provides further evidence that coping is constrained by maturation among adolescent athletes.