Abstract— Charting change in behavior as a function of age and investigating longitudinal relations among constructs are primary goals of developmental research. Traditionally, researchers rely on a single measure (e.g., scale score) for a given construct for each person at each occasion of measurement, assuming that measure reflects the same construct at each occasion. With multiple indicators of a latent construct at each time of measurement, the researcher can evaluate whether factorial invariance holds. If factorial invariance constraints are satisfied, latent variable scores at each time of measurement are on the same metric and stronger conclusions are warranted. This article discusses factorial invariance in longitudinal studies, contrasting analytic approaches and highlighting strengths of the multiple‐indicator approach to modeling developmental processes.

中文翻译：

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纵向结构方程模型中的因子不变性：跨时间测量相同的构造。

摘要-将行为变化绘制为年龄的函数并调查构念之间的纵向关系是发展研究的主要目标。传统上，研究人员在每次测量时依赖于每个人的给定结构的单一测量（例如，量表分数），假设该测量在每次测量都反映相同的结构。通过每次测量时潜在构造的多个指标，研究人员可以评估因子不变性是否成立。如果满足因子不变性约束，则每次测量时的潜在变量分数都在相同的度量标准上，并且有必要得出更有力的结论。本文讨论了纵向研究中的因子不变性，