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Revisiting the Impact of Measurement Quality on Targeted Structural Model Fit Indexes in Structural Equation Modeling
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2022-11-28 , DOI: 10.1080/10705511.2022.2139262
Chunhua Cao 1 , Kaiwen Man 1 , Yuan Ge 1
Affiliation  

Abstract

This study examined the false positive rates and sensitivity of structural fit indexes to structural misspecification in SEM. The impact of sample size, model size, the magnitude of standardized factor loadings, and misspecified path effect on the fit indexes was also investigated. The structural fit indexes examined in this study included RMSEA-P, C9, C10 recommended by Lance et al., and C9S, C10S, RMSEAS, and CFIS proposed by McNeish and Hancock. The results in the present study showed that the false positive rates of C9S and C10S were high when the sample size was small or when factor loadings were low, although their sensitivity was negligibly impacted by the size of factor loadings. The higher sensitivity of RSMEA-P, C9, and C10 was observed in conditions with more observed items with higher factor loadings. Empirical implications for applied researchers were discussed.



中文翻译:

重新审视测量质量对结构方程建模中目标结构模型拟合指数的影响

摘要

本研究检查了结构拟合指数对 SEM 中结构错误指定的假阳性率和敏感性。还研究了样本大小、模型大小、标准化因子载荷的大小和错误指定的路径效应对拟合指数的影响。本研究考察的结构拟合指标包括Lance等人推荐的RMSEA-P、C9、C10 ,以及McNeish和Hancock提出的C9 S、C10 S、RMSEA S和CFI S 。本研究的结果表明,C9 S和 C10 S的假阳性率当样本量较小或因子载荷较低时,它们的敏感性很高,尽管它们的敏感性受因子载荷大小的影响可以忽略不计。RSMEA-P、C9 和 C10 在具有较高因子载荷的观察项目较多的条件下观察到较高的灵敏度。讨论了对应用研究人员的实证意义。

更新日期:2022-11-29
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