González Jorge, De Boeck Paul, Tuerlinckx Francis
Department of Psychology, K. U. Leuven, Leuven, Belgium.
Psychol Methods. 2008 Dec;13(4):337-53. doi: 10.1037/a0013269.
Structural equation models are commonly used to analyze 2-mode data sets, in which a set of objects is measured on a set of variables. The underlying structure within the object mode is evaluated using latent variables, which are measured by indicators coming from the variable mode. Additionally, when the objects are measured under different conditions, 3-mode data arise, and with this, the simultaneous study of the correlational structure of 2 modes may be of interest. In this article the authors present a model with a simultaneous latent structure for 2 of the 3 modes of such a data set. They present an empirical illustration of the method using a 3-mode data set (person by situation by response) exploring the structure of anger and irritation across different interpersonal situations as well as across persons.
结构方程模型常用于分析二模数据集，其中一组对象在一组变量上进行测量。对象模式中的潜在结构通过潜在变量进行评估，这些潜在变量由来自变量模式的指标进行测量。此外，当对象在不同条件下进行测量时，就会产生三模数据，由此，对两个模式的相关结构进行同时研究可能会很有意义。在本文中，作者提出了一个针对此类数据集的三个模式中的两个模式具有同时潜在结构的模型。他们使用一个三模数据集（人×情境×反应）对该方法进行了实证说明，该数据集探索了不同人际情境以及不同人之间愤怒和恼怒的结构。
