Practical application of the vanishing tetrad test for causal indicator measurement models: An example from health-related quality of life
Practical application of the vanishing tetrad test for causal indicator measurement models: An example from health-related quality of life
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DOI：
10.1002/sim.3560
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发表时间：
2009-05-01
影响因子：
2
通讯作者：
Dahly, Darren L.
中科院分区：
文献类型：
--
作者：
Bollen, Kenneth A.;Lennox, Richard D.;Dahly, Darren L.
研究人员经常面临着尝试测量抽象概念的任务。最常见的方法是使用反映潜在潜在变量的多个指标。然而，这种“效果指标”测量模型并不总是合适的。有时，这些指标反而会引起人们的兴趣。尽管“因果指标”的概念已为人所知已有一段时间，但它仍然经常被忽视。然而，确定是否应将可能的指标视为潜在感兴趣结构的原因或结果的方法有限。也许最好的经验方法是使用消失四分体检验（VTT）。但这种方法仍然经常被忽视。我们推测，造成这种情况的原因之一是缺乏已发表的实践使用示例，而这些示例是为没有经过广泛统计培训的受众编写的。本文的目标是帮助填补文献中的这一空白——提供如何使用 VTT 的基本示例。我们通过查看健康相关生活质量工具中的多个项目来说明 VTT，这些项目似乎更有可能导致潜在变量，而不是相反。版权所有 (C) 2009 John Wiley & Sons, Ltd.
Researchers are often faced with the task of trying to measure abstract concepts. The most common approach is to use multiple indicators that reflect an underlying latent variable. However, this 'effect indicator' measurement model is not always appropriate; sometimes the indicators instead cause the construct of interest. While the notion of 'causal indicators' has been known for some time, it is still too often ignored. However, there are limited means to determine whether a possible indicator should be treated as a cause or an effect of the latent construct of interest. Perhaps the best empirical way is to use the vanishing tetrad test (VTT). yet this method is still often overlooked. We speculate that one reason for this is the lack of published examples of its use in practice, written for an audience without extensive statistical training. The goal of this paper was to help fill this gap in the literature-to provide a basic example of how to use the VTT. We illustrated the VTT by looking at multiple items from a health related quality of life instrument that seem more likely to cause the latent variable rather than the other way around. Copyright (C) 2009 John Wiley & Sons, Ltd.