title: Mixture modeling methods for the assessment of normal and abnormal personality, part II: longitudinal models.
abstract: Studying personality and its pathology as it changes, develops, or remains stable over time offers exciting insight into the nature of individual differences. Researchers interested in examining personal characteristics over time have a number of time-honored analytic approaches at their disposal. In recent years there have also been considerable advances in person-oriented analytic approaches, particularly longitudinal mixture models. In this methodological primer we focus on mixture modeling approaches to the study of normative and individual change in the form of growth mixture models and ipsative change in the form of latent transition analysis. We describe the conceptual underpinnings of each of these models, outline approaches for their implementation, and provide accessible examples for researchers studying personality and its assessment.
authors.affiliation: a Department of Psychology , University of Pittsburgh.
authors.forename: Aidan G C
authors.initials: AG
authors.lastname: Wright
authors.forename: Michael N
authors.initials: MN
authors.lastname: Hallquist
mesh_terms: D006803:Human Development / Q000502:physiology*; D006801:Humans; D008960:Models, Psychological; D015233:Models, Statistical; D010551:Personality / Q000502:physiology*; D010552:Personality Assessment / Q000592:standards*