A NECESSARY AND SUFFICIENT CONDITION FOR IDENTIFICATION OF CONFIRMATORY FACTOR-ANALYSIS MODELS OF FACTOR COMPLEXITY ONE
A NECESSARY AND SUFFICIENT CONDITION FOR IDENTIFICATION OF CONFIRMATORY FACTOR-ANALYSIS MODELS OF FACTOR COMPLEXITY ONE
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DOI：
10.1177/0049124195023004002
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发表时间：
1995-05-01
影响因子：
6.3
通讯作者：
REILLY, T
中科院分区：
文献类型：
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作者：
REILLY, T
在结构方程模型确定之后，在参数估计之前，必须确定模型的可辨识性。然而，对于模型的测量部分，很少有规则帮助研究者验证模型是否可辨识。本文介绍了因子复杂性模型的一个充分必要的辨识规则。该规则易于理解，易于应用，适用于部分以及整个模型。此外，它提供了一个诊断工具，有助于识别问题。列举了许多实例。
After specification of a structural equation model and before estimation of parameters, the identification status of the model must be determined For the measurement portion of the model however there are very few rules to help the researcher verify whether the model is identified or not This article introduces a necessary and sufficient identification rule for models of factor complexity one. The rule is easy to understand is easy to apply and applies to portions as well as to the whole model. Moreover it provides a diagnostic tool that helps with identification questions. Many examples are given.