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The Precision of the Overall Data-Model Fit for Different Design Features in Confirmatory Factor Analysis

机译:整体数据模型的精度适合于验证因子分析中的不同设计特征

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Factor Analysis (FA) is the study of variance within a group. Within-Subject Variance (WSV) is affected by multiple features in a study context such as the Experimental Design (ED) or the Sampling Design (SD). The aim of this study is to provide an empirical evaluation of the influence of different aspects of ED and SD on WSV in the context of FA in terms of model precision. The study results showed that the precisions of the overall model fit indices TLI and CFI, as functions of VTF, STV, h2, and their interaction, varied, as did the precisions of the overall model fit indices GFI, AGFI, and RMSEA as functions of VTF, STV, and their interactions. Overall, when the VTF is 4:1 or 7:1, the required STV is 16:1 or above 32:1 or above to show precision in factor solution.
机译:因子分析(FA)是对组内的差异研究。对象内方差(WSV)受到研究上下文中的多个特征的影响,例如实验设计(ED)或采样设计(SD)。本研究的目的是在模型精度方面提供对FA的背景下的ED和SD对WSV不同方面的影响的实证评价。该研究结果表明,整体模型FIT索引TLI和CFI的精确,作为VTF,STV,H2的功能,以及它们的互动,各种各样的函数,以及整体模型FFI,AGFI和RMSEA作为职能的精确性VTF,STV及其互动。总的来说,当VTF为4:1或7:1时,所需的STV为16:1或高于32:1或更高,以显示因子解决方案的精度。

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