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High-performing teams: Is collective intelligence the answer?

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Summary
This summary is machine-generated.

Collective intelligence in small groups may be better explained by a two-factor model, not a single general factor. This finding impacts how we understand and improve group problem-solving and academic performance.

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Area of Science:

  • Psychology
  • Social Sciences
  • Cognitive Science

Background:

  • The concept of a general factor of collective intelligence (gCI) has been influential in small group research.
  • Previous models proposed a singular factor governing group intelligence.

Purpose of the Study:

  • To examine the validity of a general collective intelligence factor in small groups.
  • To assess the factor structure of collective intelligence.
  • To evaluate its predictive utility for group problem-solving and academic outcomes.

Main Methods:

  • A correlational study design was employed with 85 university students.
  • Participants completed complex cognitive tasks measuring individual and group intelligence.
  • Data were collected across individual, group, and predictive phases.

Main Results:

  • Findings supported a two-factor model of collective intelligence, aligning with theories of crystallized and fluid intelligence.
  • This two-factor model explained significant variance in group performance, challenging the single-factor hypothesis.
  • Both individual and collective intelligence measures showed moderate, significant correlations with group assignment scores (rs = .40 to .47, p < .05).

Conclusions:

  • Collective intelligence in small groups may be influenced by multiple dimensions, not a single general factor.
  • These dimensions appear to reflect established theories of individual intelligence.
  • This nuanced view has implications for enhancing group performance in educational and organizational settings.