A cognitive complexity metric applied to cognitive development

Cogn Psychol. 2002 Sep;45(2):153-219. doi: 10.1016/s0010-0285(02)00002-6.

Abstract

Two experiments tested predictions from a theory in which processing load depends on relational complexity (RC), the number of variables related in a single decision. Tasks from six domains (transitivity, hierarchical classification, class inclusion, cardinality, relative-clause sentence comprehension, and hypothesis testing) were administered to children aged 3-8 years. Complexity analyses indicated that the domains entailed ternary relations (three variables). Simpler binary-relation (two variables) items were included for each domain. Thus RC was manipulated with other factors tightly controlled. Results indicated that (i) ternary-relation items were more difficult than comparable binary-relation items, (ii) the RC manipulation was sensitive to age-related changes, (iii) ternary relations were processed at a median age of 5 years, (iv) cross-task correlations were positive, with all tasks loading on a single factor (RC), (v) RC factor scores accounted for 80% (88%) of age-related variance in fluid intelligence (compositionality of sets), (vi) binary- and ternary-relation items formed separate complexity classes, and (vii) the RC approach to defining cognitive complexity is applicable to different content domains.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child
  • Child Development / physiology
  • Child, Preschool
  • Cognition / physiology*
  • Concept Formation / physiology*
  • Female
  • Humans
  • Male
  • Random Allocation