Examining the efficacy of composite-based structural equation modeling (SEM) features prominently in research. However, studies analyzing the efficacy of corresponding estimators usually rely on factor model data. Thereby, they assess and analyze their performance on erroneous grounds (i.e., factor model data instead of composite model data). A potential reason for this malpractice lies in the lack of available composite model-based data generation procedures for prespecified model parameters in the structural model and the measurements models. Addressing this gap in research, we derive model formulations and present a composite model-based data generation approach. The findings will assist researchers in their composite-based SEM simulation studies.

研究基于复合材料的结构方程模型（SEM）的功效在研究中非常突出。但是，分析相应估计量功效的研究通常依赖于因子模型数据。因此，他们基于错误的理由（即，因子模型数据而不是复合模型数据）评估和分析其性能。这种弊端的潜在原因在于，对于结构模型和测量模型中预先指定的模型参数，缺少可用的基于复合模型的数据生成过程。为了解决研究中的这一空白，我们推导了模型公式，并提出了一种基于复合模型的数据生成方法。这些发现将有助于研究人员进行基于复合材料的SEM模拟研究。