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Related Concept Videos

Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
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Piaget's Stage 2 of Cognitive Development01:14

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The preoperational stage, the second of Jean Piaget's four stages of cognitive development, spans approximately ages 2 to 7 and is characterized by the emergence of symbolic thinking. During this stage, children use language, images, and symbols to represent objects and concepts, enabling them to engage in imaginative and pretend play. This symbolic thinking supports children's ability to perform make-believe actions, such as imagining a broom as a horse or their hand as a phone, blending...
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The formal operational stage, as described in Piaget's cognitive development theory, begins around age 11 and extends into adulthood. It marks the emergence of advanced cognitive abilities that differentiate adolescent and adult thinking from those of younger children. This stage is characterized by abstract reasoning, hypothetical-deductive reasoning, and a more complex understanding of self and others.
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Network Models for Cognitive Development and Intelligence.

Han L J Van Der Maas1, Kees-Jan Kan2, Maarten Marsman3

  • 1Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129B, 1018 WX Amsterdam, The Netherlands. h.l.j.vandermaas@uva.nl.

Journal of Intelligence
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

Network modeling offers a unified approach to understanding cognitive development and intelligence. This method explains individual differences and the general intelligence factor (g-factor) through mechanistic models.

Keywords:
cognitive developmentdevelopment of intelligencefactor modelsintelligencelatent variable modelsnetwork modelspsychometrics

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Area of Science:

  • Psychology
  • Cognitive Science
  • Psychometrics

Background:

  • Cronbach's (1957) division highlights the gap between studying general cognitive mechanisms and individual differences in intelligence.
  • Integrating these fields requires mechanistic models explaining individual differences in cognitive development.

Purpose of the Study:

  • To propose network modeling as a unified approach for integrating cognitive development and intelligence.
  • To demonstrate how network models can explain key phenomena in individual differences research.

Main Methods:

  • Mathematical definition of network models operating at the individual level.
  • Application of network modeling to explain correlations among intelligence subtest scores (g-factor).
  • Exploration of links between network modeling, factor modeling, and item response theory.

Main Results:

  • Network models provide a mechanistic explanation for the general intelligence factor (g-factor).
  • This approach can account for complex factorial structures in intelligence data.
  • Network modeling facilitates a common metric for both discrete and continuous cognitive development and intelligence traits.

Conclusions:

  • Network modeling is a promising framework for a unified theory of cognitive development and intelligence.
  • This approach bridges the gap between cognitive mechanisms and individual differences.
  • It offers a flexible metric for diverse cognitive characteristics.