Outliers and Improper Solutions
Outliers and Improper Solutions
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异常值和不正确的解决方案
DOI：
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发表时间：
1987
期刊：
影响因子：
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通讯作者：
K. Bollen
中科院分区：
文献类型：
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作者：
K. Bollen
在结构方程模型中，一个常见的现象是“不当解”。测量误差的负方差、方程误差的负方差或潜在变量之间的相关性大于1的估计值都是不当解的实例。最近的工作已经开始研究这些问题的原因和解决办法，但离群值在产生不适当的解决方案的作用被忽视。本文的目的有三：（1）解释异常值如何导致不适当的解决方案，（2）使用验证性因子分析的例子来证明这一点，（3）鼓励研究人员检查这种可能性。
A common occurrence in structural equation models are “improper solutions.” Estimates of negative variances of measurement errors, negative variances of equation errors, or correlations between latent variables that are greater than one are instances of improper solutions. Recent work has begun to examine the causes and cures for these problems but the role of outliers in generating improper solutions has been overlooked. The purposes of this article are threefold: (1) to explain how outliers can lead to improper solutions, (2) to use a confirmatory factor analysis example to demonstrate this, and (3) to encourage researchers to check for this possibility.