Personality and Intelligence in Business People: A Study of Two Personality and Two Intelligence Measures

This study examined the overlap and correlations among two well-known personality measures (NEO-PI–R; Myers-Briggs Type Indicator, MBTI) and two widely used intelligence tests (the Graduate Management Assessment (GMA), Watson-Glaser Critical Thinking Appraisal (WGCTA)). The GMA measures both fluid intelligence (Gf) and crystallized intelligence (Gc), whereas WGCTA mainly assess Gc. A total of over 3,500 participants completed the four measures in a middle management assessment event. Correlational analysis showed that Extraversion on the MBTI tended to be associated with Openness and Stability on the NEO. Intuition was associated with Openness and Introversion. Feeling types tended to be both Agreeable and Neurotic while perceiving types were high on Openness but low on Agreeableness. The NEO Big Five factor of Openness was most consistently and significantly associated with both measures of intelligence (r = .09 to r =.12). Results from the MBTI showed that Intuition and Perceiving scores were positively and significantly associated with both intelligence test scores which were intercorrelated (r = .38). Regressional analysis showed that personality traits are logically and coherently related to intelligence test scores. Implications for selection and assessment are considered.     

Intelligence and interpersonal sensitivity: A meta-analysis

A meta-analytic review investigated the association between general intelligence and interpersonal sensitivity. The review involved 38 independent samples with 2988 total participants. There was a highly significant small-to-medium effect for intelligence measures to be correlated with decoding accuracy (r = .19, p < .001). Significant moderators included the type of decoding judgment (emotion vs. intended meaning judgments), decoding channel (audio-only vs. audio-plus-video channel), and target gender (both male-and-female targets vs. female-only targets). Interpersonal decoding accuracy requires some level of social sophistication and results of this meta-analysis suggest that part of that social sophistication involves the cognitive abilities comprising general intelligence.     

一般人工智能概述(英文)

AGI是为解决传统人工智能存在的问题而产生的,更注重通用智能的基础问题和人工实现,与认知科学、心灵哲学也密切相关。本文通过介绍AGI的发展历史、AGI的定义及其与传统AI的关系以及一些有代表性的AGI方案等对AGI进行介绍。     

Intelligence and dyslexia: Implications for diagnosis and intervention

In this paper we critically examine theoretical issues and practical consequences of including IQ in the definition of dyslexia. According to the discrepancy criterion individuals are classified as dyslexic if their reading skills are below what would be expected from their IQ scores. However, we argue that intelligence is a fuzzy concept and that there is no clear causal relationship between intelligence level and word decoding skills. Also, high and low IQ poor readers show the same reading performance patterns, indicating that both groups might benefit from the same remedial activities. Evidence for the critical role of phonological skills in dyslexia is presented and a more recent definition of dyslexia is discussed in relation to these findings. Finally, two alternative, more outcome-based classifications of poor readers are suggested and some critical consequences for individual interventions are outlined.     

Measurement and Non-Measurement Influences of Test-Session Behavior on Individually Administered Measures of Intelligence

Two nested structural models were developed to determine whether test-session behaviors affect the manner in which intelligence is measured or whether their influence is related to the constructs being measured. Children’s test-session behaviors were assessed using the Guide to the Assessment of Test-Session Behaviors for the WISC-III and WIAT (GATSB; Glutting & Oakland, 1993) and intelligence was measured with the Wechsler Intelligence Scale for Children-Third Edition (WISC-III; Wechsler, 1991). Model 1 investigated relationships between test-session behaviors and the WISC-III’s four-factor solution by first evaluating the underlying factor structure of the instruments. Thereafter, this measurement model served as a baseline against which alternative models were compared. The alternative models considered the influence of test-session behaviors on: (a) the subtests used to measure the WISC-III’s constructs of intelligence, and (b) the actual constructs of intelligence. Model 2 explored similar relationships by considering only the WISC-III’s Verbal and Performance dimensions. Results indicate that test-session behaviors play a larger role influencing the mechanisms through which intelligence is measured than on the actual constructs of intelligence. Implications are discussed for clinical practice.     

A Neuropsychological Approach to Intelligence

This paper proposes that current psychometric intelligence tests are limited in evaluating cognitive activity. From a neuropsychological perspective, they fail to measure some fundamental cognitive abilities such as executive functions, memory, and visuospatial abilities. The analysis of the Wechsler Intelligence Scale presented shows that the original rationale for selecting the specific subtests included in the WAIS was unclear. The concept of a g factor in cognition is also analyzed, with the conclusion that the g factor continues to be controversial. The value of intelligence tests in predicting school performance is also criticized. It is proposed that the psychometric concept of general intelligence should be deleted from cognitive and neurological sciences. Finally, it is proposed that, in the future, neuropsychological instruments sensitive to more specific cognitive abilities replace current psychometric intelligence tests.     

Intelligence and religiosity: Within families and over time

We study the effect of intelligence (General Mental Ability) on religiosity using research designs that allow for stronger causal inferences compared to previous research in this area. First, we examine how between-siblings differences in intelligence are related to differences in their religiosity. Second, we examine how intelligence is related to changes in religiosity over time. The results of both designs suggest that intelligence has a strong negative effect on religiosity. In addition, our results also suggest that intelligence interacts with age in determining religiosity: the more intelligent the person, the stronger the negative effect of age on religiosity.     

Intelligence and selective attrition in a nationally representative and longitudinal sample of Americans

Selective attrition is a potentially serious problem that can bias the findings that are generated from longitudinal samples. Although the extent to which IQ might be involved in selective attrition has been studied, the results from these studies have been decidedly mixed. The current study adds to the literature examining the link between IQ and selective attrition by examining four waves of data from the National Longitudinal Study of Adolescent Health. Analysis of these data revealed that IQ is related to attrition, with lower IQ respondents more likely to drop out of the study when compared against higher IQ respondents. The evidence suggests that dropouts score about 4.5 IQ points lower than subjects who did not drop out. Limitations of the study are noted and directions for future research are discussed.     

一种新的智力观--塞西的智力生物生态学模型述评

美国心理学教授塞西在对传统智力心理测量学理论批评的基础上于1990年提出了信息加工取向的智力的生物生态学模型。这一模型主要有四个基本假设,即智力是一个多种资源系统;生物潜能与环境力量的相互作用;适宜的“最近过程”是智力发展的“引擎”;把“动机”整合到智力发展中。塞西智力的生物生态学模型为我们揭示人的智力的本质提供了一个新的视角。     

Emotional Intelligence of Foreign and Local University Students in Singapore: Implications for Managers

Does intelligence alone explain our achievement at work or in life? Contrary to our belief that academic achievement matters very much in the success we have in working life, Chen et al. (1998) has shown that close to 90% of success in leadership positions is attributable to Emotional Intelligence (EI). Considering that EI can be a potential determinant of our achievement in working life, this study aims to determine if there is any significant difference in the EI of local and foreign undergraduates studying in universities in Singapore. The “Emotional IQ Test” was administered to 100 undergraduates from various fields of studies from the National University of Singapore and Nanyang Technological University, of which 31 had foreign education background. This study showed that foreign undergraduates have a higher EI score than those with local education background. In addition, by examining the relationships between variables such as age, gender, year of study and EI, it was found that males have higher EI scores than that of females. The implication for managers is that staff should be evaluated on their own merits such as their EI rather than on academic results.     

EQ-nomics: Understanding the relationship between individual differences in Trait Emotional Intelligence and entrepreneurship

Past studies highlight the importance of Trait Emotional Intelligence (EI) in the prediction of career success. Given the evidence that trait EI predicts job performance and job satisfaction, it is reasonable to expect this construct to also predict other forms of career success. In this study, we examine whether EI predicts entrepreneurship; that is, whether higher trait EI is linked to entrepreneurial behaviours and entrepreneurial success, and whether any effects of trait EI on entrepreneurship are independent of the personality trait of Core Self-Evaluations, demographic variables, and individual differences in entrepreneurial personality. Results show that trait EI predicts only some entrepreneurial outcomes beyond other variables examined, and with small effect sizes. This suggests that individual differences in entrepreneurship result only in part from inter-personal differences in trait EI. Implications for research and practice are discussed.     

Intelligence in childhood and risk of psychological distress in adulthood: The 1958 National Child Development Survey and the 1970 British Cohort Study

Lower cognitive ability is a risk factor for some forms of severe psychiatric disorder, but it is unclear whether it influences risk of psychological distress due to anxiety or the milder forms of depression. The participants in the present study were members of two British birth national birth cohorts, the 1958 National Child Development Survey (n = 6369) and the 1970 British Cohort Study (n = 6074). We examined the association between general cognitive ability (intelligence) measured at age 10 (1970 cohort) and 11 years (1958 cohort) and high levels of psychological distress at age 30 (1970 cohort) or 33 years (1958 cohort), defined as a score of 7 or more on the Malaise Inventory. In both cohorts, participants with higher intelligence in childhood had a reduced risk of psychological distress. In sex-adjusted analyses, a standard deviation (15 points) increase in IQ score was associated with a 39% reduction in psychological distress in the 1958 cohort and a 23% reduction in the 1970 cohort [odds ratios (95% confidence intervals) were 0.61 (0.56, 0.68) and 0.77 (0.72, 0.83), respectively]. These associations were only slightly attenuated by further adjustment for potential confounding factors in childhood, including birth weight, parental social class, material circumstances, parental death, separation or divorce, and behaviour problems, and for potential mediating factors in adulthood, educational attainment and current social class. Intelligence in childhood is a risk factor for psychological distress due to anxiety and the milder forms of depression in young adults. Understanding the mechanisms underlying this association may help inform methods of prevention.     

A psychobiographical analysis of Brian Douglas Wilson: Creativity, drugs, and models of schizophrenic and affective disorders

The suggestion of a relationship between creativity and mental disorder has existed for centuries, and has been advocated by many psychological researchers. The present analysis offers a consideration of the nature of mental disorder present in Brian Wilson, an individual recognised as one of the most creative figures in 20th century popular music. Using converging biographical evidence, and the diagnostic program Opcrit, Wilson’s diagnosis is concluded to be schizoaffective. Employing details of his drug abuse, various models of schizoaffective spectra are examined, in particular a reconsideration of the LSD model of schizophrenia. The model is shown to be useful for positive schizophrenic symptoms including overinclusion, a potentially key element of creativity. In doing so, this psychobiographical analysis allows examination of potential relationships between mental disorder and creativity, the effects of various narcotics on creativity and various elements of mental disorder, the efficacy of various drug models of psychotic disorders, and the overlap between psychotic and affective disorders.     

Perceived Emotional Intelligence,Stress Reactivity,and Symptom Reports: Further Explorations Using the Trait Meta-Mood Scale

We examined the relationship between perceived emotional intelligence (PEI), measured by the Trait Meta-Mood Scale (TMMS), and psychophysiological measures of adaptive coping. The TMMS assesses perceived ability to (a) attend to moods (Attention), (b) discriminate clearly among moods (Clarity), and (c) regulate moods (Repair). Study 1 showed significant positive associations between PEI and psychological and interpersonal functioning. In Study 2, skill at mood Repair was associated with less passive coping and perceptions of repeated laboratory stressors as less threatening; Clarity was related to greater increases in negative mood, but lower cortisol release during repeated stress. In Study 3, Repair was associated with active coping and lower levels of rumination; Attention was associated with lowered cortisol and blood pressure responses to acute laboratory challenges. These findings suggest that psychophysiological responses to stress may be one potential mechanism underlying the relationship between emotional functioning and health.     

Intelligence and neural efficiency: The influence of task content and sex on the brain–IQ relationship

In studying physiological correlates of human intelligence, new brain imaging techniques like positron emission tomography (PET) and electroencephalography (EEG) mapping methods focus on the level and topographical distribution of cortical activation. Actually, there is strong empirical evidence that more intelligent individuals display a more focused cortical activation during cognitive performance resulting in lower total brain activation than in less intelligent individuals (i.e., neural efficiency hypothesis). Former studies have used only single, homogeneous tasks and most of the studies have been performed using males. Therefore, here the influence of different task content and of sex on the relationship between intelligence and cortical activation has been tested. In a sample of 26 males and 25 females, we administered verbal, numerical, and figural versions of a well-known elementary cognitive task, the so-called Posner task. Our results suggest a comparatively low cortical activation in brighter as compared to less intelligent individuals but this expected neural efficiency pattern interacted with sex and task content: In the verbal Posner task, the females were more likely to produce cortical activation patterns in line with the neural efficiency hypothesis, whereas in the figural task, primarily the males displayed the expected inverse relationship between IQ and cortical activation.     

Exercise is medicine… when you enjoy it: Exercise enjoyment,relapse prevention efficacy,and health outcomes for youth within a drug and alcohol treatment service

ObjectiveEvidence for the effectiveness of exercise as therapy for youth substance use disorder (SUD) is scarce. In this study, we investigated associations between exercise enjoyment and recovery outcomes for youth undergoing residential SUD treatment.MethodUsing ecological momentary assessment, each week participants reported perceptions of exercise enjoyment, relapse prevention efficacy, self-esteem, and physical health, and associations between these variables were assessed at both between- and within-person levels. There were 97 participants (age: M = 17.5, SD = 1.57, range = 14 to 21; 37 female, 60 male), with a final sample of 64 due to participants (n = 33) discontinuing treatment within 2 weeks of commencement. Of the remaining sample, 50% (n = 32) completed 3 or more assessments, 40% (n = 26) completed 5 or more, and 25% (n = 16) completed 7 or more.ResultsRelapse prevention efficacy, self-esteem, and perceived physical health increased over time in the program. Youth who, on average, enjoyed exercise more had higher self-esteem, perceived physical health, and relapse prevention efficacy than those who enjoyed it less. Additionally, on occasions when youth enjoyed exercise more (relative to their own average), they reported higher self-esteem, perceived physical health, and relapse prevention efficacy than on occasions when they reported enjoying it less.ConclusionParticipation in—and importantly, enjoyment of—exercise was linked to key health indices and predictors of relapse for youth during SUD treatment. These findings demonstrate that participation in enjoyable structured exercise may provide an important component of successful SUD treatment.     

Intelligence is differentially related to neural effort in the task-positive and the task-negative brain network

Previous studies on individual differences in intelligence and brain activation during cognitive processing focused on brain regions where activation increases with task demands (task-positive network, TPN). Our study additionally considers brain regions where activation decreases with task demands (task-negative network, TNN) and compares effects of intelligence on neural effort in the TPN and the TNN. In a sample of 52 healthy subjects, functional magnetic resonance imaging was used to determine changes in neural effort associated with the processing of a working memory task. The task comprised three conditions of increasing difficulty: (a) maintenance, (b) manipulation, and (c) updating of a four-letter memory set. Neural effort was defined as signal increase in the TPN and signal decrease in the TNN, respectively. In both functional networks, TPN and TNN, neural effort increased with task difficulty. However, intelligence, as assessed with Raven's Matrices, was differentially associated with neural effort in the TPN and TNN. In the TPN, we observed a positive association, while we observed a negative association in the TNN. In terms of neural efficiency (i.e., task performance in relation to neural effort expended on task processing), more intelligent subjects (as compared to less intelligent subjects) displayed lower neural efficiency in the TPN, while they displayed higher neural efficiency in the TNN. The results illustrate the importance of differentiating between TPN and TNN when interpreting correlations between intelligence and fMRI measures of brain activation. Importantly, this implies the risk of misinterpreting whole brain correlations when ignoring the functional differences between TPN and TNN.