ABSTRACT This paper presents the semi-hierarchical model for confirmatory factor analysis of speeded data. The semi-hierarchical model is achieved by integrating information from the second level of the hierarchical structure of speeded data into the customary confirmatory factor model. The second level of speeded data originates from subsets of participants responding on the basis of different sources. In the semi-hierarchical model, the contributions of the latent variables are modified to reflect characteristics of these subsets. Furthermore, the results of a simulation study comparing the semi-hierarchical model adapted to speeded data and the customary confirmatory factor model are reported. Whereas all the models yielded good model fit according to RMSEA and SRMR, differences between the models were signified by CFI and TLI. The semi-hierarchical model led to the better model fit in data showing noticeable speededness.

中文翻译：

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用于加速数据的半分层确认因子模型

摘要 本文提出了用于加速数据验证性因素分析的半分层模型。半分层模型是通过将来自加速数据分层结构的第二级的信息整合到惯用的确认因素模型中来实现的。第二级加速数据源自基于不同来源做出响应的参与者子集。在半分层模型中，潜变量的贡献被修改以反映这些子集的特征。此外，还报告了比较适用于加速数据的半分层模型和惯用的验证性因素模型的模拟研究结果。尽管根据 RMSEA 和 SRMR，所有模型都产生了良好的模型拟合，但模型之间的差异由 CFI 和 TLI 表示。