Why g matters: The complexity of everyday life
TL;DR: In this paper, the authors provide evidence that intelligence has pervasive utility in work settings because it is essentially the ability to deal with cognitive complexity, in particular, with complex information processing, and the more complex a work task, the greater the advantages that higher g confers in performing it well.
About: This article is published in Intelligence.The article was published on 1997-01-01 and is currently open access. It has received 1300 citations till now. The article focuses on the topics: Everyday life & Cognitive complexity.
Summary (1 min read)
Jump to: [Why g Matters: The Complexity of Everyday Life] – [WHAT DOES “IMPORTANT” MEAN?] – [INFLUENCE OF INTELLIGENCE ON OVERALL LIFE OUTCOMES] and [THE FUTURE]
Why g Matters: The Complexity of Everyday Life
- This article provides evidence that g has pervasive utility in work settings because it is essentially the ability to deal with cognitive complexity, in particular, with complex information processing.
- Few claims in the social sciences are backed by such massive evidence but remain so hotly contested in public discourse.
- Besides demonstrating that g is important in practical affairs, I seek to demonstrate why intelligence has such surprisingly pervasive importance in the lives of individuals.
- I then use both the employment and literacy data to sketch a portrait of life’s challenges and opportunities at different levels of intelligence.
WHAT DOES “IMPORTANT” MEAN?
- The nature of the job and its context seem to determine whether g has any direct effect on task proficiency, net of job knowlege.
- As is well known in psychometrics (see also Gordon, 1997), the fact that an individual passes or fails any single test item says little about that person’s general intelligence level.
INFLUENCE OF INTELLIGENCE ON OVERALL LIFE OUTCOMES
- The effects of intelligence-like other psychological traits-are probabilistic, not deterministic.
- White adults in this range marry, work, and have children (Hermstein & Murray, 1994), but, as Table 10 shows, they are nonetheless at great risk of living in poverty (30%), bearing children out of wedlock (32%), and becoming chronic welfare dependents (31%).
- At this IQ level, fewer than half the high school graduates and none of the dropouts meet the military’s minimum AFQT enlistment standards.
- Most occupations are within reach cognitively, because these individuals learn complex material fairly easily and independently.
- Such as divorce, illness, and occasional unemployment, they rarely become trapped in poverty or social pathology.
THE FUTURE
- Complexity enriches social and cultural life, but it also risks leaving some individuals behind.
- Society has become more complex-and g loaded-as the authors have entered the information age and postindustrial economy.
- Accordingly, organizations are “flatter” (have fewer hierarchical levels), and increasing numbers of jobs require high-level cognitive and interpersonal skills (Camevale, 1991; Cascio, 1995; Hunt, 1995; Secretary’s Commission on Achieving Necessary Skills, 1991).
- There is evidence that increasing proportions of individuals with below-average IQs are having trouble adapting to their increasingly complex modern life (Granat & Granat, 1978) and that social inequality along IQ lines is increasing (Herrnstein & Murray, 1994).
- As the military experience also illustrates, however, what is good pedagogy for the low-aptitude learner may be inappropriate for the high-aptitude person.
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TL;DR: In this article, the authors developed an evolutionary model that integrates human parenting and family formation with ideas about the evolved functions of distinctive human characteristics, such as concealed ovulation and sophisticated sociocognitive competencies.
Abstract: Objective. To develop an evolutionary model that integrates human parenting and family formation with ideas about the evolved functions of distinctive human characteristics, such as concealed ovulation and sophisticated sociocognitive competencies. Design. Theoretical and empirical research across scientific disciplines is reviewed. The emphasis is on ecological and social conditions that covary, across species, with parenting, family formation, and potentially coevolving characteristics, such as a long developmental period. Results. For humans, social competition through coalition formation emerges as the key selective pressure that readily explains the coevolution of a constellation of characteristics that covary with parenting and family formation, including a lengthy developmental period, reduced sexual dimorphism, concealed ovulation, menopause, complex kinship networks, large brains, and sophisticated sociocognitive competencies. Individual and cross-cultural variations in patterns of parenting dynamics and family formation are viewed as adaptive phenotypic responses to different ecological and historical conditions. Conclusions. Human parenting and family formation are features of a coevolving suite of distinctive human characteristics, the evolutionary function of which is to facilitate the formation of kin-based coalitions for competition with other coalitions for resource control. In this view, a central function of human parenting and the human family is to provide a context for the development of sociocompetitive competencies appropriate to the local ecology.
296 citations
Cites background from "Why g matters: The complexity of ev..."
..., through education) and to the ability to gain access to important resources (Gottfredson, 1997; Legree, 1995)....
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TL;DR: The goals of the review are to highlight the educational and employment consequences of poorly developed mathematical competencies, overview the characteristics of children with mathematical learning disability (MLD) and with persistently low achievement (LA) in mathematics, and provide a primer on cognitive science research that is aimed at identifying the cognitive mechanisms underlying these learning disabilities and associated cognitive interventions.
Abstract: The goals of the review are threefold: (a) to highlight the educational and employment consequences of poorly developed mathematical competencies; (b) overview the characteristics of children with mathematical learning disability (MLD) and with persistently low achievement (LA) in mathematics; and (c) provide a primer on cognitive science research that is aimed at identifying the cognitive mechanisms underlying these learning disabilities and associated cognitive interventions. Literatures on the educational and economic consequences of poor mathematics achievement were reviewed and integrated with reviews of epidemiological, behavioral genetic, and cognitive science studies of poor mathematics achievement. Poor mathematical competencies are common among adults and result in employment difficulties and difficulties in many common day-to-day activities. Among students, ∼ 7% of children and adolescents have MLD and another 10% show persistent LA in mathematics, despite average abilities in most other areas. Children with MLD and their LA peers have deficits in understanding and representing numerical magnitude, difficulties retrieving basic arithmetic facts from long-term memory, and delays in learning mathematical procedures. These deficits and delays cannot be attributed to intelligence but are related to working memory deficits for children with MLD, but not LA children. These individuals have identifiable number and memory delays and deficits that seem to be specific to mathematics learning. Interventions that target these cognitive deficits are in development and preliminary results are promising.
283 citations
TL;DR: In this paper, the authors replicated the results of Johnson, Bouchard, Krueger, McGue, and Gottesman (2004) by using five test batteries.
275 citations
Cites background from "Why g matters: The complexity of ev..."
...There is considerable empirical evidence for the existence and realworld importance of such a factor (Gottfredson, 1997; Gustafsson & Undheim, 1996; Jensen, 1998), but these demonstrations alone offer little explanatory power....
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TL;DR: Evidence is provided that lower brain-wide white matter tract integrity exerts a substantial negative effect on general intelligence through reduced information-processing speed, suggesting a functionally plausible model of intelligence, where structurally intact axonal fibres across the brain provide the neuroanatomical infrastructure for fast information processing within widespread brain networks, supporting general intelligence.
Abstract: General intelligence is a robust predictor of important life outcomes, including educational and occupational attainment, successfully managing everyday life situations, good health and longevity. Some neuronal correlates of intelligence have been discovered, mainly indicating that larger cortices in widespread parieto-frontal brain networks and efficient neuronal information processing support higher intelligence. However, there is a lack of established associations between general intelligence and any basic structural brain parameters that have a clear functional meaning. Here, we provide evidence that lower brain-wide white matter tract integrity exerts a substantial negative effect on general intelligence through reduced information-processing speed. Structural brain magnetic resonance imaging scans were acquired from 420 older adults in their early 70s. Using quantitative tractography, we measured fractional anisotropy and two white matter integrity biomarkers that are novel to the study of intelligence: longitudinal relaxation time (T1) and magnetisation transfer ratio. Substantial correlations among 12 major white matter tracts studied allowed the extraction of three general factors of biomarker-specific brain-wide white matter tract integrity. Each was independently associated with general intelligence, together explaining 10% of the variance, and their effect was completely mediated by information-processing speed. Unlike most previously established neurostructural correlates of intelligence, these findings suggest a functionally plausible model of intelligence, where structurally intact axonal fibres across the brain provide the neuroanatomical infrastructure for fast information processing within widespread brain networks, supporting general intelligence.
274 citations
TL;DR: Investigation of core self-evaluations and educational attainment as mediating mechanisms for the influence of appearance, appearance and intelligence and intelligence on income and financial strain suggest that looks, brains, and personality are all important to income.
Abstract: The authors investigated core self-evaluations and educational attainment as mediating mechanisms for the influence of appearance (physical attractiveness) and intelligence (general mental ability) on income and financial strain. The direct effects of core self-evaluations on financial strain, as well as the indirect effects through income, were also considered. Longitudinal data were obtained as part of a national study, the Harvard Study of Health and Life Quality, and proposed models were evaluated with structural equation modeling. Results supported a partially mediated model, such that general mental ability and physical attractiveness exhibited both direct and indirect effects on income, as mediated by educational attainment and core self-evaluations. Finally, income negatively predicted financial strain, whereas core self-evaluations had both a direct and an indirect (through income) negative effect on financial strain. Overall, the results suggest that looks (physical attractiveness), brains (intelligence), and personality (core self-evaluations) are all important to income and financial strain.
268 citations
Cites background from "Why g matters: The complexity of ev..."
...Intelligence positively influences learning and success at skill acquisition (Carver, 1990; Gottfredson, 1997)....
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...Gottfredson (1997) argued that intelligence creates “functional competence,” or the achievement of commonly valued social ends....
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References
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