%0 Journal Article
%T Do Self
%A John F. Rauthmann
%A Kai T. Horstmann
%A Ryne A. Sherman
%J Social Psychological and Personality Science
%@ 1948-5514
%D 2019
%R 10.1177/1948550618774772
%X Convergent 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
%K nomological network
%K lens model
%K trait
%K state
%K HEXACO
%K Big Five
%K DIAMONDS
%U https://journals.sagepub.com/doi/full/10.1177/1948550618774772