We investigate the factor structure of personality traits under the Big Five model, specifically the Conscientiousness trait, using Bayesian structural equational modeling across multiple model structures (correlated-traits, bifactor, higher-order) and found evidence that B-SEM with informative priors performed better than non-B-SEM models and that bifactor structures best fit the data.