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We investigated the effects of estimation methods and controls of negatively and positively phrased items for Neuroticism domain scale in the IPIP-NEO-300. The results showed that Bayesian-IP models best represented correlated factor, bifactor, and hierarchical frameworks of the structure of personality and controlling for method factors improved the model fits.