Evaluating Measurement of Dynamic Constructs: Defining a Measurement Model of Derivatives
Evaluating Measurement of Dynamic Constructs: Defining a Measurement Model of Derivatives
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DOI：
10.1037/a0034523
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发表时间：
2015-03-01
影响因子：
7
通讯作者：
Estabrook, Ryne
中科院分区：
文献类型：
--
作者：
Estabrook, Ryne
虽然测量评估已被视为心理学研究的重要步骤，但用纵向数据评估测量结构充满了局限性。本文定义和测试的衍生工具（MMOD），这是为了评估潜在的结构，既为分析人与人之间的差异和分析的变化的测量模型。仿真结果表明，MMOD优于现有的多变量分析模型，并提供等效的数据生成模型。额外的模拟表明，MMOD能够检测人与人之间的因素结构的差异。模型的特点，应用和未来的发展方向进行了讨论。
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.