a Department of Psychology , University of Pittsburgh.
J Pers Assess. 2014;96(3):269-82. doi: 10.1080/00223891.2013.830262. Epub 2013 Sep 5.
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.
研究人格及其病理学，了解其随时间变化、发展或保持稳定的情况，为深入了解个体差异提供了令人兴奋的视角。那些对随时间研究个人特征感兴趣的研究人员，有许多久经考验的分析方法可供使用。近年来，个体导向的分析方法也取得了相当大的进展，特别是纵向混合模型。在这个方法学指南中，我们专注于混合建模方法，研究规范和个体变化的形式为增长混合模型，以及以潜在转变分析的形式为特质变化。我们描述了这些模型的每个模型的概念基础，概述了它们的实现方法，并为研究人格及其评估的研究人员提供了易于理解的示例。
