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. Author manuscript; available in PMC: 2024 Jan 11.
Published in final edited form as: J Pers Soc Psychol. 2017 Mar 2;112(6):838–859. doi: 10.1037/pspi0000087

Figure 1.

Figure 1.

Extent of clustering in agent-based simulations. Agent-based simulations depict the amount of clustering on a given attribute when agents select mates based on the extent to which mates match their preferences (i.e., intraclass correlations [ICC] for the trait across the selected mates). Simulations depict ICCs when two (Panel A), three (Panel B), and four (Panel C) mates are selected. Modest intercorrelations: preferences for traits correlate r = .20; perceptions of mates’ traits correlate r = .20. Stronger intercorrelations: preferences for traits correlate r = .20; perceptions of mates’ traits correlate r = .45; see text for real-world justification of these values. Error bars depict 95% confidence interval around the predicted ICC.