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Children and adolescents interact in peer groups, which are known toinfluence a range of psychological and behavioral outcomes. In developmentalpsychology and related disciplines, social cognitive mapping (SCM), asimplemented with the SCM 4.0 software, is the most commonly used method foridentifying peer groups from peer report data. However, in a series of fourstudies, we demonstrate that SCM has an unacceptably high risk of falsepositives. Specifically, we show that SCM will identify peer groups even whenapplied to random data. We introduce backbone extraction and communitydetection as one promising alternative to SCM, and offer severalrecommendations for researchers seeking to identify peer groups from peerreport data.

False positives using social cognitive mapping to identify childrens' peer groups