Rauthmann, John F.Horstmann, Kai TobiasSherman, Ryne A.2021-01-082021-01-082019-07-012020-04-281948-5506http://edoc.hu-berlin.de/18452/22949Convergent correlations between traits and state aggregates from experience sampling cannot fully establish trait-state homomorphy (the extent to which the same constructs are measured). With a nomological vector correlation and lens model approach, we test how similar nomological networks of traits and state aggregates are to each other: A trait and state-aggregate capture the same construct when both show highly similar nomological associations to a common set of correlates. In large experience sampling (N = 209) and life-logging studies (N = 298), Extraversion, Conscientiousness, and Agreeableness tended to show more and Openness, Honesty/Humility, and Neuroticism/Emotionality tended to show less trait-state homomorphy. However, these general findings differed somewhat at the aspect level, with Neuroticism and Extraversion aspects tending to show more versus Openness and Honesty/Humility aspects tending to show less homomorphy. The proposed nomological approaches can be flexibly applied to other traits, states, and correlates.eng(CC BY 4.0) Attribution 4.0 Internationalnomological networklens modeltraitstateHEXACOBig FiveDIAMONDS150 Psychologiearticleurn:nbn:de:kobv:11-110-18452/22949-410.18452/223221948-5514