A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods
A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods
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DOI：
10.1080/10705511.2012.687658
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发表时间：
2012-01-01
影响因子：
6
通讯作者：
Nussbeck, Fridtjof W.
中科院分区：
文献类型：
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作者：
Geiser, Christian;Eid, Michael;Nussbeck, Fridtjof W.
多方法数据分析是一个复杂的过程，通常用于检查同一结构的不同测量在评估该结构时收敛的程度。一些作者呼吁更好地理解多方法数据的不同模型中方法效应的定义和意义。在这篇文章中，我们比较了最近提出的两种方法，它们在方法效应的定义和意义方面具有结构上的不同方法，即限制性CT-C（M - 1）模型（Geiser，Eid，& Nussbeck，2008）和潜在差异模型（Lischetzke，Eid，& Nussbeck，2002）。我们还介绍了个人，条件和一般方法偏差的概念，并展示了这些类型的偏差是如何在模型中表示。一个应用程序的多速率数据集（N = 199），以及每个模型的应用和解释的建议。
Multimethod data analysis is a complex procedure that is often used to examine the degree to which different measures of the same construct converge in the assessment of this construct. Several authors have called for a greater understanding of the definition and meaning of method effects in different models for multimethod data. In this article, we compare 2 recently proposed approaches for modeling data with structurally different methods with regard to the definition and meaning of method effects, the restricted CT-C(M - 1) model (Geiser, Eid, & Nussbeck, 2008) and the latent difference model (Lischetzke, Eid, & Nussbeck, 2002). We also introduce the concepts of individual, conditional, and general method bias and show how these types of biases are represented in the models. An application to a multirater data set (N = 199) as well as recommendations for the application and interpretation of each model are provided.