… Multivariate generalized linear mixed model was performed for joint modeling of anxiety …
variables and personality traits as independent variables using shared random effect models. …

… A latent mixture model that simultaneously takes into account item responses and RTs
has not been proposed or applied to the personality domain. Rather, previous joint modeling …

… It was a clinically interpretable model in the sense that there … model incorporated personality
traits and psychiatric disorders in a joint model instead of modeling pathological personality …

… Model fitting allows the researcher to do just that. In order to maximize … fit models jointly to
our adoption data and Rose's (1988) twin data. Modeling was carried out using Mx, a modeling …

… We used a 2 × 2 mixed-design analysis of variance (ANOVA) to calculate the interaction
between the decision-making condition (joint or individual) and personality in models of …

… Abstract Personality trait models have been extremely valuable in outlining nomothetic
regularities in developmental processes and personality … often inconsistent with trait definitions. …

… In the model, linguistic descriptions of personality traits related to cooperative behavior are
… represent personality trait genes in the model, which can be translated into behavioral traits …

… factors such as personality traits in observed interindividual … Among five-factor models of
personality, Extraversion and … This personality trait is also known to be positively related to …

… We test and find that personality traits interact with site characteristics and the … personality
traits influence behavior and then present some methodological implications of LC models…

… , we develop a joint model consisting of a multidimensional latent trait linear mixed model
(MLTLMM) for the multiple longitudinal outcomes, and a proportional hazards model with …