结构方程建模
潜变量
路径分析(统计学)
样品(材料)
潜变量模型
拟合优度
样本量测定
计量经济学
心理学
计算机科学
数学
统计
化学
色谱法
作者
Larry J. Williams,Aaron R. Williams,Ernest H. O’Boyle
标识
DOI:10.1177/10944281221124946
摘要
We review the development of path model fit measures for latent variable models and highlight how they are different from global fit measures. Next, we consider findings from two published simulation articles that reach different conclusions about the effectiveness of one path model fit measure (RMSEA-P). We then report the results of a new simulation study aimed at resolving the questions of whether and how the RMSEA-P should be used by organizational researchers. These results show that the RMSEA-P and its confidence interval is very effective with multiple indicator models at identifying misspecifications across large and small sample sizes and is effective at identifying true models at moderate to large sample sizes. We conclude with recommendations for how the RMSEA-P can be incorporated along with other information into model evaluation.
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