Why g matters: The complexity of everyday life
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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.read more
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Book ChapterDOI
Chapter 15 – g, Jobs and Life
TL;DR: In this paper, the authors apply the life-as-a-mental-test-battery analogy to the world of work and apply it to the literature on job performance and occupational attainment.
General mental ability and two types of adaptation to unforeseen change
Jonas W. B. Lang,Lutz F. Hornke +1 more
TL;DR: In this paper, a discontinuous growth model was used to distinguish transition adaptation and reacquisition adaptation from two common performance components (skill acquisition and basal task performance) in a complex decision-making task.
Journal ArticleDOI
Relevance of education and intelligence for the political development of nations: Democracy, rule of law and political liberty
TL;DR: For example, this paper found that higher levels of moral judgment fostered by cognitive ability are necessary for the function of democratic rules in society, and that cognitive ability is a mediator of these relationships.
Journal ArticleDOI
Subjective evaluations of intelligence and academic self-concept predict academic achievement: Evidence from a selective student population
TL;DR: This paper examined the relationship between implicit theories, goal orientations, subjective and test estimates of intelligence, academic self-concept, and achievement in a selective student population (N ǫ = 300).
Posted ContentDOI
A distributed brain network predicts general intelligence from resting-state human neuroimaging data
TL;DR: Using a cross-validated predictive framework, 20% of the variance in general intelligence in the sampled population was predicted from their resting-state connectivity matrices, and no single anatomical structure or network was responsible or necessary for this prediction, which instead relied on redundant information distributed across the brain.
References
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Frames of Mind: The Theory of Multiple Intelligences
Marc H. Bornstein,Howard Gardner +1 more
TL;DR: The ten-year edition of the 10th anniversary edition as mentioned in this paper is devoted to the theory of multiple intelligences and its application in the socialization of human intelligence through Symbols Implications And Applications.
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Frames of Mind: The Theory of Multiple Intelligences
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Handbook of industrial and organizational psychology
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A nation at risk: the imperative for educational reform
TL;DR: Because of the extraordinary clarity and importance of the Commission's Report, the editors of the Communica t ions decided to reprint the Report's main section in its entirety and present it to you here.