Estabrook Ryne
Northwestern University.
Psychol Methods. 2015 Mar;20(1):117-141. doi: 10.1037/a0034523. Epub 2013 Dec 23.
While measurement evaluation has been embraced as an important step in psychological research, evaluating measurement structures with longitudinal data is fraught with limitations. This article defines and tests a measurement model of derivatives (MMOD), which is designed to assess the measurement structure of latent constructs both for analyses of between-person differences and for the analysis of change. Simulation results indicate that MMOD outperforms existing models for multivariate analysis and provides equivalent fit to data generation models. Additional simulations show MMOD capable of detecting differences in between-person and within-person factor structures. Model features, applications, and future directions are discussed.
虽然测量评估已被视为心理学研究中的重要一步,但使用纵向数据评估测量结构存在诸多局限性。本文定义并测试了一种衍生测量模型(MMOD),该模型旨在评估潜在结构的测量结构,用于个体间差异分析和变化分析。模拟结果表明,MMOD在多变量分析中优于现有模型,并且与数据生成模型具有同等的拟合度。额外的模拟显示MMOD能够检测个体间和个体内因素结构的差异。本文还讨论了模型特征、应用及未来方向。