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The HoneyComb Paradigm for Research on Collective Human Behavior
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An information sampling explanation for the in-group heterogeneity effect.

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People perceive their own groups as more diverse than others because they gather more information about their in-groups. This information sampling bias explains the in-group heterogeneity effect, even with rational processing.

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Area of Science:

  • Social Psychology
  • Cognitive Psychology
  • Group Dynamics

Background:

  • The in-group heterogeneity effect describes the common perception that one's own group (in-group) is more diverse than other groups (out-groups).
  • Previous explanations have focused on differential information processing between in-groups and out-groups.

Purpose of the Study:

  • To propose and test an information sampling explanation for the in-group heterogeneity effect.
  • To demonstrate that asymmetry in information sample sizes can lead to perceived in-group heterogeneity.

Main Methods:

  • Computer simulations were used to model the relationship between sample size and perceived group variability.
  • Two experiments were conducted to empirically support the assumption that perceived variability depends on observed sample size.

Main Results:

  • Computer simulations showed that larger information samples about in-groups naturally lead to the perception of greater in-group heterogeneity.
  • Empirical evidence supported the hypothesis that perceived group variability is influenced by the size of the information sample.

Conclusions:

  • The study provides a robust information sampling explanation for the in-group heterogeneity effect.
  • This explanation is valid under various assumptions and highlights the role of sample size in perception, complementing cognitive processing theories.