Frank D Mann1, Colin G DeYoung2, Valerie Tiberius3, Robert F Krueger2. 1. Department of Family, Population, & Preventative Medicine, Program in Public Health, Stony Brook University, Stony Brook, NY, USA. 2. Department of Psychology, University of Minnesota, Minneapolis, MN, USA. 3. Department of Philosophy, University of Minnesota, Minneapolis, MN, USA.
Abstract
OBJECTIVE: The present study estimates associations of the Big Five domains and their metatraits with individual indicators of eudaimonic, hedonic, and social well-being, as well as broader factors that capture the tendency for these individual indicators to correlate. METHOD: Using data from a large sample of adults from the United States, confirmatory factor analysis and exploratory structural equation modeling was used to verify the factor structure of Big Five personality and well-being in adulthood. The factor structure of the Big Five domains and well-being was carried forward to estimate associations between personality and well-being at each of three assessments and different levels of analysis using structural equation modeling. RESULTS: Associations between the Big Five metatraits and well-being were strong and consistent across the three measurements when the average ages of participants were 46, 54, and 63 years. Similar results were observed whether focused on a fine-grained or broad level of analysis. CONCLUSIONS: For all types of well-being, the metatraits accounted for more variance than the Big Five domains, even when the Big Five were operationalized using latent factors, emphasizing the importance of considering this level of analysis when elucidating relations between personality and well-being.
OBJECTIVE: The present study estimates associations of the Big Five domains and their metatraits with individual indicators of eudaimonic, hedonic, and social well-being, as well as broader factors that capture the tendency for these individual indicators to correlate. METHOD: Using data from a large sample of adults from the United States, confirmatory factor analysis and exploratory structural equation modeling was used to verify the factor structure of Big Five personality and well-being in adulthood. The factor structure of the Big Five domains and well-being was carried forward to estimate associations between personality and well-being at each of three assessments and different levels of analysis using structural equation modeling. RESULTS: Associations between the Big Five metatraits and well-being were strong and consistent across the three measurements when the average ages of participants were 46, 54, and 63 years. Similar results were observed whether focused on a fine-grained or broad level of analysis. CONCLUSIONS: For all types of well-being, the metatraits accounted for more variance than the Big Five domains, even when the Big Five were operationalized using latent factors, emphasizing the importance of considering this level of analysis when elucidating relations between personality and well-being.