A Better Look at Intelligence

The Planning, Attention, Simultaneous, and Successive (PASS) model is offered as an alternative to the unidimensional conceptualization of intelligence as a general ability. The unidimensional conceptualization has not helped researchers and clinicians understand variations of cognitive functions within special populations such as individuals with learning disabilities, disorders of attention, or mental retardation. Neither has this conceptualization aided in program planning for these individuals. PASS is a model of cognitive function based on contemporary research in both cognition and neuropsychology and provides a theory for both assessment and intervention. This article reviews concepts and examples of PASS theory and its application to reading disabilities and mental retardation. For example, the article links dyslexia with a deficit in successive processing. It also identifies the major difficulties of individuals with Down syndrome in phonological memory and articulation. Further research on successive processing, and planning as it relates to language, is suggested.     

Probability, logic and the cognitive foundations of rational belief

Since Pascal introduced the idea of mathematical probability in the 17th century discussions of uncertainty and “rational” belief have been dogged by philosophical and technical disputes. Furthermore, the last quarter century has seen an explosion of new questions and ideas, stimulated by developments in the computer and cognitive sciences. Competing ideas about probability are often driven by different intuitions about the nature of belief that arise from the needs of different domains (e.g., economics, management theory, engineering, medicine, the life sciences etc). Taking medicine as our focus we develop three lines of argument (historical, practical and cognitive) that suggest that traditional views of probability cannot accommodate all the competing demands and diverse constraints that arise in complex real-world domains. A model of uncertain reasoning based on a form of logical argumentation appears to unify many diverse ideas. The model has precursors in informal discussions of argumentation due to Toulmin, and the notion of logical probability advocated by Keynes, but recent developments in artificial intelligence and cognitive science suggest ways of resolving epistemological and technical issues that they could not address.     

The distinctiveness and utility of a measure of trait emotional awareness

There has been a proliferation of new measures of individual differences in emotional processing, but too little research that evaluates the distinctiveness and utility of such measures. We critically evaluated the Level of Emotional Awareness Scale (LEAS), which is a measure of people's awareness of emotions in both the self and others. Across two studies, university students (N=124 and 107 for study 1 and 2, respectively) completed the LEAS, as well as a battery of personality measures and ability tests, and a mood-induction task. The LEAS was statistically distinct from a wide variety of personality measures, emotional intelligence tests, and self-report ability measures. In addition, both studies demonstrated that people high in emotional awareness were less likely than others to show mood congruent biases in their judgments (e.g. when bad moods lead to negative judgments and good moods to good judgments). The LEAS appears to be both distinctive and useful in understanding mood-relevant processes.     

An investigation of the interaction between cognitive style and context reinstatement on the memory performance of eyewitnesses

The power of context reinstatement to improve recall is well established, but the degree of effect obtained varies widely between studies. Exploring possible causes for this variation, this paper examines the relationship between cognitive style and the efficacy of context reinstatement in improving free and cued recall in an eyewitness paradigm. Experiment 1, using a live staged event and a 1 week delay, indicated a significant improvement in free recall with the reinstatement of context and, as expected, no such improvement in cued recall. However, analysis of the data according to field dependency, as measured by Witkin, Oltman, Raskin, and Karp's [A manual for the Embedded Figures Test (1971) Palo Alto, CA: Consulting Psychologists Press] Group Embedded Figures Test (GEFT) revealed that, in free recall, field dependent witnesses' scores improved significantly with context reinstatement, whilst the scores of field independent witnesses did not. In cued recall, however, the field independent witnesses scored significantly higher overall than field dependent witnesses. Experiment 2 sought replication of these findings again utilised the GEFT and the Riding [Cognitive Styles analysis (1991) Birmingham: Learning and Training Technology] Cognitive Styles Analysis (CSA). Analysis of the data according to the Wholist-Analytic (W-A) dimension of the CSA, indicated no interaction with either context reinstatement or memorial performance. However the GEFT analysis produced similar results to that obtained in Experiment 1. The meaning of the interaction between the GEFT and both free and cued recall, and the failure of the CSA to similarly interact are discussed, together with the implication of these findings for establishing the value of reinstating context for individual eyewitnesses.     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.     

Emotional intelligence,cognitive ability and information search in tactical decision-making

Emotional intelligence (EI) may promote more effective decision-making under stress. In the present study, 167 participants completed a situation judgment test for EI, and performed a decision-making task based on an Antarctic rescue scenario. Participants were assigned to either a negative or neutral feedback group. Negative feedback significantly increased distress and impaired decision-making. EI failed to moderate the impacts of negative feedback, but higher EI was associated with greater information-search activity irrespective of feedback condition. It is concluded that ability EI may have a motivational component that may support more exhaustive analysis of both social and non-social stimuli.     

Measured and self-estimated trait emotional intelligence in a UK sample of managers

Trait emotional intelligence (EI) was measured and self-estimated in a UK sample of 128 managers (52.3% female), recruited at a professional services firm. Participants’ measured scores were compared to standardization sample data and gender differences in measured and estimated scores, as well as in estimation bias and accuracy were examined. As hypothesized, managers’ global trait EI scores were significantly higher than those of the normative sample of the measure used, although the scores of female participants were largely responsible for this difference. Gender-specific hypotheses were confirmed for measured scores (differences only hypothesized at the factor level) and estimation accuracy (males estimating their trait EI more accurately), but not for estimated scores (female participants had higher estimates, but the opposite was hypothesized). Further, female managers showed signs of estimation bias.     

重点中学与普通中学学生非智力因素的比较研究

本研究分别对重点中学与普通中学初一、初三年级学生的非智力因素状况进行调查,结果表明初一年级学生的非智力因素水平在两类学校之间不存在差异,而初三年级学生的非智力因素水平在两类学校之间存在着显著性差异（Ｐ＜０．０５）。随着年龄的增长,重点中学与普通中学学生的非智力因素水平都有所发展,但重点中学的学生发展得更好。本研究表明学校的教育环境影响着学生非智力因素的发展。     

Understanding attraction in formal mentoring relationships from an affective perspective

Despite the critical role affect can play in mentoring, a type of close relationships in the workplace, affect has not received much attention in existing mentoring research. Drawing upon Byrne's affect-centered model of attraction, we examined the relationships among mentors' moods during their interaction with protégés, mentors' liking of protégés, and mentoring support received by protégés. Moreover, we also examined the moderating effect of protégés' emotional intelligence (EI) on the relationship between mentors' moods and liking. Based on data collected from 237 ongoing formal mentoring dyads, we found that mentors' positive moods were positively related, and negative moods were negatively related, to mentoring support received through mentors' liking. Furthermore, protégés' EI only moderated the positive relationship between mentors' positive moods and liking such that the positive relationship was stronger for protégés low on EI. Theoretical and practical implications of the findings are discussed.