Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit
Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit
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DOI：
10.1080/10705511.2017.1389611
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发表时间：
2018-01-01
影响因子：
6
通讯作者：
Rosseel, Yves
中科院分区：
文献类型：
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作者：
Maydeu-Olivares, Alberto;Shi, Dexin;Rosseel, Yves
我们比较了基于均方根近似误差 (RMSEA) 和基于标准化均方根残差 (SRMR) 的置信区间 (CI) 和紧密拟合检验的准确性。调查使用正态和非正态数据，模型范围从 p=10 到 60 个观察变量。 CI 和基于 SRMR 的紧密拟合检验在所有条件下通常都是准确的（即使在非正态数据的 p=60 时）。相比之下，基于 RMSEA 的 CI 和紧密拟合检验仅在小模型中准确。在较大的模型 (p30) 中，他们错误地认为模型拟合不紧密，特别是在样本量小于 500 的情况下。
We compare the accuracy of confidence intervals (CIs) and tests of close fit based on the root mean square error of approximation (RMSEA) with those based on the standardized root mean square residual (SRMR). Investigations used normal and nonnormal data with models ranging from p=10 to 60 observed variables. CIs and tests of close fit based on the SRMR are generally accurate across all conditions (even at p=60 with nonnormal data). In contrast, CIs and tests of close fit based on the RMSEA are only accurate in small models. In larger models (p30), they incorrectly suggest that models do not fit closely, particularly if sample size is less than 500.