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An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

机译:激情尺度上的探索性结构方程建模(ESEM)框架说明

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摘要

While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; Mage = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; Mage = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one.
机译:虽然探索性因素分析(EFA)在交叉加载项的情况下提供了更真实的数据显示方式,但确认性因素分析(CFA)包含了许多方法学上的进步,而前者却没有。为了建立两者的协同作用,提出了探索性结构方程模型(ESEM)作为替代解决方案,并结合了EFA和CFA的优点。因此,本研究是ESEM的适用性和灵活性的说明性展示。为了实现这一目标,我们比较了CFA和ESEM模型,然后通过激情量表上的多指标多原因(MIMIC)模型彻底测试了测量不变性和差异项功能,这是对偶激情二元模型(DMP)的唯一度量这区分了和谐的和强迫的激情形式。此外,还创建了一个混合模型来克服这两种方法的缺点。对第一个大型社区样本的分析(N = 7,466;女性67.7%; Mage = 26.01)显示,ESEM模型相对于CFA在改善拟合优度和相关因子较少的同时还具有优势,同时保留了高清晰度的因素。但是,只有在包含三个相关的唯一性的情况下才能实现这种匹配,其中两个在以前的研究中出现,而其中一个特定于当前的研究。这些发现被复制到第二个综合样本中(N = 504;女性51.8%;法师= 39.59)。合并两个样本后,实现了跨性别的完全测量不变性(因素负荷,项目截距,项目唯一性,因素方差-协方差和潜在均值),各个年龄段及其组合的部分不变性。在多组方法和MIMIC方法中,只有一项截取是不变的,这一发现得到了混合模型的进一步证实。固执的热情在混合模式中略有下降,而和谐的热情却没有。总体而言,ESEM框架是CFA的可行替代方案,可以使用甚至扩展为解决实质性重要问题,研究人员应系统地比较这两种方法,以确定最合适的方法。

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