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A cognitive complexity metric applied to cognitive development.

Glenda Andrews1, Graeme S Halford

  • 1School of Applied Psychology, Griffith University, Gold Coast Campus, PMB 50, Gold Coast Mail Centre, Qld. 9726, Australia. g.andrews@mailbox.gu.edu.au

Cognitive Psychology
|January 17, 2003
PubMed
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Processing load is determined by relational complexity (RC), the number of variables in a decision. Ternary relations (3 variables) were harder than binary relations (2 variables) for children, impacting cognitive development.

Area of Science:

  • Cognitive Psychology
  • Developmental Psychology
  • Cognitive Science

Background:

  • Cognitive load theories posit that processing difficulty is influenced by task demands.
  • Relational complexity (RC) is proposed as a key factor in determining cognitive load.
  • Understanding how relational complexity impacts cognitive development is crucial for educational and psychological research.

Purpose of the Study:

  • To test the theory that processing load is dependent on relational complexity (RC).
  • To investigate the developmental trajectory of processing relational complexity in children.
  • To determine if RC is a unifying factor across diverse cognitive tasks.

Main Methods:

  • Two experiments administered tasks from six domains (transitivity, hierarchical classification, class inclusion, cardinality, relative-clause sentence comprehension, hypothesis testing) to children aged 3-8 years.

Related Experiment Videos

  • Relational complexity was manipulated by comparing ternary (3-variable) and binary (2-variable) relation items within each domain, while controlling other factors.
  • Complexity analyses and factor analysis were used to assess task difficulty, age-related changes, and cross-task correlations.

    • Main Results:

    • Ternary-relation items were significantly more difficult than comparable binary-relation items.
    • Relational complexity manipulation was sensitive to age-related cognitive development.
    • Children processed ternary relations at a median age of 5 years.
    • Cross-task correlations indicated a single underlying factor (RC) influencing performance across domains.
    • RC factor scores explained a substantial portion (80-88%) of age-related variance in fluid intelligence and set compositionality.
    • Binary and ternary relations formed distinct complexity classes, supporting the RC framework.

    Conclusions:

    • Processing load is indeed dependent on relational complexity, supporting the tested theory.
    • Relational complexity serves as a fundamental measure of cognitive complexity applicable across various domains.
    • The findings provide a unified framework for understanding cognitive development and individual differences in cognitive abilities.