Process Overlap Theory: A Unified Account of the General Factor of Intelligence

The most replicated result in the field of intelligence is the positive manifold, which refers to an all-positive pattern of correlations among diverse cognitive tests. The positive manifold is typically described by a general factor, or g. In turn, g is often identified as general intelligence, yet this explanation is contradicted by a number of results. Here we offer a new account of g: process overlap theory. According to the theory, cognitive tests tap domain-general executive processes, identified primarily in research on working memory, as well as more domain-specific processes. Executive processes are tapped in an overlapping manner across cognitive tests such that they are required more often than domain-specific ones. The theory provides an account of a number of findings on human intelligence. As well, it is formalized as a multidimensional item response model and as a structural model, and the neural mechanisms underlying the proposed overlapping processes are discussed.     

The construct of general intelligence

The construct of general intelligence is discussed in a number of different contexts. The fundamental empirical basis for it is the positive trend among the smallest correlations among cognitive measures. Differences among factor models which recognize this in different ways are discussed. Evidence for the general factor in intelligence is also found in the difficulty in finding evidence for differential validity of tests from one criterion to another. Performance on Piagetian tasks reflects mainly general intelligence. Individual differences in aural comprehension of language anticipate later individual differences in intellectual development. Selective forces which produce differences among schools operate largely on the general factor. To the extent that there is a genetic contribution to individual differences on cognitive tests, it appears to be to the general factor variance. Social class differences among whites appear to be largely on the general factor, but black-white differences require other dimensions. Although the general factor is, in a sense, real, it is not interpreted as an entity within the organism. Instead it is an abstraction resulting from the many genes, the many environmental pressures, and the many neural structures involved in the wide variety of human behaviors which can be labelled cognitive or intellectual.     

movies about intelligence: the limitations of g

There is a strong tendency for the same people to do better or worse on a wide variety of IQ tests. On this basis, some psychologists posit the concept of g , or a general intelligence factor. Does g show that performance on a wide range of cognitive tasks is influenced by individual differences in brain quality? It may, but if so, g lacks a sociological dimension and cannot explain cognitive trends over time or assess their significance. It also encourages a paradox about nature versus nurture and oversimplifies the causes of the Black-White IQ gap.     

Differential effects of cognitive inhibition and intelligence on creativity

There are different conceptions about how cognitive inhibition is related to creativity. Creativity has either been associated with effective inhibition, or with disinhibition, or with an adaptive engagement of inhibition. In this study, we examined the relationship of cognitive inhibition, assessed by means of the random motor generation task, with different measures of creativity. We also analyzed whether this relation is mediated by intelligence. We generally found a positive correlation of inhibition and creativity measures. Moreover, latent variable analyses indicate that inhibition may primarily promote the fluency of ideas, whereas intelligence specifically promotes the originality of ideas. These findings support the notion that creative thought involves executive processes and may help to better understand the differential role of inhibition and intelligence in creativity.     

社会网络视角的团队情绪智力

据估计, 60%的团队都没有达到它们的目标, 这给学术界提出了重要且具有挑战性的研究课题。情绪智力(emotional intelligence)是在人际关系基础上发展起来的重要概念。研究发现, 基于微观个体或宏观整体的团队情绪智力在团队成功达到目标过程中起到重要作用。然而, 当前尚无研究探讨基于团队局部成员间情绪智力行为交换而产生的团队情绪智力对团队的影响。为此, 本课题从配对层次(一对一关系中两个人, 即actor-target)这一新角度探讨团队情绪智力, 通过把它看做团队过程中一种产生的状态(emergent state), 在整合团队成员交换理论和社会网络方法基础上对它进行研究。具体围绕团队内配对单元存在的交换关系(指目标者感受到行动者对其实施的情绪智力行为)在团队中形成的网络所代表的团队情绪智力开展实证研究, 以期从理论上揭示团队内情绪智力行为交换的特征, 情绪智力自下而上(bottom-up)由个体发展到团队的过程, 以及配对基础的团队情绪智力的影响效应, 从而为团队管理实践提供具体的改善建议。     

Understanding the nature of the general factor of intelligence: the role of individual differences in neural plasticity as an explanatory mechanism

The nature of the general factor of intelligence, or g, is examined. This article begins by observing that the finding of a general factor of intelligence appears to be inconsistent with current findings in neuroscience and cognitive science, where specific connections are argued to be critical for different intellectual abilities and the brain is argued to develop these connections in response to environmental stimuli. However, it is then observed that if people differed in neural plasticity, or the ability to adapt their connections to the environment, then those highly developed in one intellectual ability would be highly developed in other intellectual abilities as well. Simulations are then used to confirm that such a pattern would be obtained. Such a model is also shown to account for many other findings in the field of intelligence that are currently unexplained. A critical period for intellectual development is then emphasized.     

Executive function and intelligence in the resolution of temporary syntactic ambiguity: an individual differences investigation

In the current study, we examined the role of intelligence and executive functions in the resolution of temporary syntactic ambiguity using an individual differences approach. Data were collected from 174 adolescents and adults who completed a battery of cognitive tests as well as a sentence comprehension task. The critical items for the comprehension task consisted of object/subject garden paths (e.g., While Anna dressed the baby that was small and cute played in the crib), and participants answered a comprehension question (e.g., Did Anna dress the baby?) following each one. Previous studies have shown that garden-path misinterpretations tend to persist into final interpretations. Results showed that both intelligence and processing speed interacted with ambiguity. Individuals with higher intelligence and faster processing were more likely to answer the comprehension questions correctly and, specifically, following ambiguous as opposed to unambiguous sentences. Inhibition produced a marginal effect, but the variance in inhibition was largely shared with intelligence. Conclusions focus on the role of individual differences in cognitive ability and their impact on syntactic ambiguity resolution.     

情绪智力的代际传递：有调节的中介模型

为考察父母情绪智力对青少年情绪智力的代际传递效应,同时探讨情感温暖的中介作用以及同伴关系的调节作用,对644名初中生及其父母进行调查,由父母报告自身情绪智力水平,青少年报告父母情感温暖、同伴关系以及自身情绪智力水平。结果发现：（1）父母情绪智力显著正向影响子女情绪智力。（2）父母情感温暖在父母情绪智力与子女情绪智力之间中介效应显著。（3）同伴关系在父母情感温暖影响子女情绪智力的路径中起显著调节作用。     

Associations between cortical thickness and general intelligence in children,adolescents and young adults

Neuroimaging research indicates that human intellectual ability is related to brain structure including the thickness of the cerebral cortex. Most studies indicate that general intelligence is positively associated with cortical thickness in areas of association cortex distributed throughout both brain hemispheres. In this study, we performed a cortical thickness mapping analysis on data from 182 healthy typically developing males and females ages 9 to 24 years to identify correlates of general intelligence (g) scores. To determine if these correlates also mediate associations of specific cognitive abilities with cortical thickness, we regressed specific cognitive test scores on g scores and analyzed the residuals with respect to cortical thickness. The effect of age on the association between cortical thickness and intelligence was examined. We found a widely distributed pattern of positive associations between cortical thickness and g scores, as derived from the first unrotated principal factor of a factor analysis of Wechsler Abbreviated Scale of Intelligence (WASI) subtest scores. After WASI specific cognitive subtest scores were regressed on g factor scores, the residual score variances did not correlate significantly with cortical thickness in the full sample with age covaried. When participants were grouped at the age median, significant positive associations of cortical thickness were obtained in the older group for g-residualized scores on Block Design (a measure of visual-motor integrative processing) while significant negative associations of cortical thickness were observed in the younger group for g-residualized Vocabulary scores. These results regarding correlates of general intelligence are concordant with the existing literature, while the findings from younger versus older subgroups have implications for future research on brain structural correlates of specific cognitive abilities, as well as the cognitive domain specificity of behavioral performance correlates of normative gray matter thinning during adolescence.     

Effects of cognitive training on the structure of intelligence

Targeted cognitive training, such as n-back or speed of processing training, in the hopes of raising intelligence is of great theoretical and practical importance. The most important theoretical contribution, however, is not about the malleability of intelligence. Instead, I argue the most important and novel theoretical contribution is understanding the causal structure of intelligence. The structure of intelligence, most often taken as a hierarchical factor structure, necessarily prohibits transfer from subfactors back up to intelligence. If this is the true structure, targeted cognitive training interventions will fail to increase intelligence not because intelligence is immutable, but simply because there is no causal connection between, say, working memory and intelligence. Seeing the structure of intelligence for what it is, a causal measurement model, allows us to focus testing on the presence and absence of causal links. If we can increase subfactors without transfer to other facets, we may be confirming the correct causal structure more than testing malleability. Such a blending into experimental psychometrics is a strong theoretical pursuit.     

On intelligence education and religious beliefs

A number of authors have suggested that education mediates the negative effect of intelligence on religiosity. However, there is very little direct evidence for this mediation, and the indirect evidence is contradictory. The results of the current paper suggest that, by and large, education does not mediate the effect of intelligence on religiosity. However, the results also suggest that since education has a positive effect on religiosity when religious background is strong and a negative effect when religious background is weak, and since intelligence has a positive effect on education, the negative effect of intelligence on religiosity is stronger when religious background is strong than when it is weak. We examine this mediated moderation model in two large, nationally representative, databases.     

Different Effects of Cognitive Shifting and Intelligence on Creativity

The relationship between creativity and executive control has long been controversial. Some researchers view creative thinking as a defocused process with little executive control involvement, whereas others claim that executive control plays a vital role in creative thinking. In this study, we focused on one subcomponent of executive control, cognitive shifting, and examined its relationship with creativity by using latent variable analysis and structural equation modeling. We also analyzed whether this relation was mediated by intelligence. The results showed that: (a) cognitive shifting ability had a positive relationship with creativity, but only on the quantitative aspects (fluency and flexibility); (b) Intelligence had a positive relationship with both quantitative and qualitative aspects (originality) of creativity, and its effect on qualitative aspect was stronger than that on the quantitative aspect; (c) There was a mediating effect of intelligence on the relationship between creativity cognitive and shifting.     

Relevance of education and intelligence at the national level for health: The case of HIV and AIDS

Studies at the individual level have shown a negative effect of education and intelligence on risky behavior. The same has been demonstrated for risky sexual behavior and for HIV-infection rates in sub-Saharan Africa. In path analyses at the country data level, cognitive abilities (seen as depending on education) show a strong negative effect on HIV-infection rates, whereas gross domestic product and modernization each has a small positive effect. A higher proportion of Muslims in the population reduces the HIV-infection rate. Explanations for the effect of intelligence include a better understanding of causal relationships between one's behavior and health, greater awareness of future consequences, indirect intelligence effects, a general rationality effect, a civic embeddedness effect, and more competent management of the problem by governments, e.g. through public education programs about HIV transmission and AIDS.     

Working memory and fluid intelligence in young children

The present study investigates how working memory and fluid intelligence are related in young children and how these links develop over time. The major aim is to determine which aspect of the working memory system—short-term storage or cognitive control—drives the relationship with fluid intelligence. A sample of 119 children was followed from kindergarten to second grade and completed multiple assessments of working memory, short-term memory, and fluid intelligence. The data showed that working memory, short-term memory, and fluid intelligence were highly related but separate constructs in young children. The results further showed that when the common variance between working memory and short-term memory was controlled, the residual working memory factor manifested significant links with fluid intelligence whereas the residual short-term memory factor did not. These findings suggest that in young children cognitive control mechanisms rather than the storage component of working memory span tasks are the source of their link with fluid intelligence.     

The relationship between intelligence,working memory,academic self-esteem,and academic achievement

Academic achievement is crucial for life and long-term outcomes. The aim of the present study is to examine the joint role of cognitive (intelligence and working memory) and non-cognitive (academic self-esteem) factors in predicting academic achievement (mathematics and reading literacy) in a sample of Italian sixth and eighth graders. The results showed that within the cognitive factors considered, intelligence was the best predictor of achievement. As regards to non-cognitive factors, academic self-esteem was effective at predicting achievement after controlling for cognitive measures. Academic self-esteem was also found to have an indirect effect, mediated by intelligence, on academic achievement. Both theoretical and practical implications of the present results are discussed.     

Noncognitive predictors of intelligence and academic achievement: An important role of confidence

Recent evidence about the relationship between cognitive tests and psychological noncognitive variables is reviewed. Noncognitive measures can be ordered with respect to their predictive validity. Many are poor predictors of intelligence and achievement. Measures of rationality, self-assessment of intelligence, Openness to Experience and self-concept correlate up to .35 with cognitive performance. Some domain-specific self-beliefs (self-efficacy and anxiety) have correlations with appropriate achievement tests that can reach .45. The best predictors of any kind of cognitive performance are measures of confidence (frequently reported correlations of .45 and above) that can capture a major part of predictive validity of the three self-beliefs. The role of self-beliefs has attracted much interest in education but their role in predicting performance on tests of fluid intelligence is likely to be low. However, self-beliefs and confidence in particular may prove to be the most potent noncognitive influences on the development of acculturated knowledge that is captured by measures of crystallized intelligence.     

智商常态人群的智力个体差异研究述评

智力功能个体差异星正态分布有不同观点：g因素决定特殊能力分化程度差异论、因素搭配差异论;单一认知机能、认知机能系统中的一个或者几个认知机能缺陷影响智力功能差异论;认知发展理论的要素功能大小和要素关联关系强弱、结构差异论;文化活动结构差异和遗传进化的神经效率差异论;神经活动特性水平和神经活动区域效率差异、人格中介情景任务和人     

The relationship between baseline pupil size and intelligence

Pupil dilations of the eye are known to correspond to central cognitive processes. However, the relationship between pupil size and individual differences in cognitive ability is not as well studied. A peculiar finding that has cropped up in this research is that those high on cognitive ability have a larger pupil size, even during a passive baseline condition. Yet these findings were incidental and lacked a clear explanation. Therefore, in the present series of studies we systematically investigated whether pupil size during a passive baseline is associated with individual differences in working memory capacity and fluid intelligence. Across three studies we consistently found that baseline pupil size is, in fact, related to cognitive ability. We showed that this relationship could not be explained by differences in mental effort, and that the effect of working memory capacity and fluid intelligence on pupil size persisted even after 23 sessions and taking into account the effect of novelty or familiarity with the environment. We also accounted for potential confounding variables such as; age, ethnicity, and drug substances. Lastly, we found that it is fluid intelligence, more so than working memory capacity, which is related to baseline pupil size. In order to provide an explanation and suggestions for future research, we also consider our findings in the context of the underlying neural mechanisms involved.     

A computational analysis of general intelligence tests for evaluating cognitive development

The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same approach can be used to assess the cognitive development of artificial systems. In particular, can we assess whether the ‘fluid’ or ‘crystallised’ intelligence of an artificial cognitive system is changing during its cognitive development as a result of acquiring more concepts? In this paper, we address several IQ tests problems (odd-one-out problems, Raven’s Progressive Matrices and Thurstone’s letter series) with a general learning system that is not particularly designed on purpose to solve intelligence tests. The goal is to better understand the role of the basic cognitive operational constructs (such as identity, difference, order, counting, logic, etc.) that are needed to solve these intelligence test problems and serve as a proof-of-concept for evaluation in other developmental problems. From here, we gain some insights into the characteristics and usefulness of these tests and how careful we need to be when applying human test problems to assess the abilities and cognitive development of robots and other artificial cognitive systems.     

Single tests,competing tasks and their relationship to the broad factors of intelligence

This paper presents the results of three studies in which scores obtained on single and competing tests were correlated with the composites representing fluid intelligence, crystallized intelligence, and the short-term acquisition and retrieval function. The results indicate that competing tasks have higher correlations with intelligence than single tests. Since in two studies of this paper no decrements in performance were observed on the competing as compared with the single task, the concept of limited central processing capacity cannot account for individual differences in performance of these cognitive tasks. It is suggested that the concept of efficient processing of information, perhaps efficient encoding, may be the basis for individual differences in cognitive abilities.