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Structural Equation Modeling (SEM) Using SmartPLS Software: Analyzing Path Models Using Partial Least Squares (PLS) Based SEM

机译:使用SmartPLS软件的结构方程模型(SEM):使用基于偏最小二乘(PLS)的SEM分析路径模型

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This 'hands-on' workshop will demonstrate how to obtain and use sophisticated, but (currently) free, visual software for assessing the measurement and structural model characteristics of path-based SEM quantitative models using a partial least squares (PLS) approach. The workshop will be presented as a teaching aid for faculty, doctoral students, and for other researchers who are engaged in SEM modeling. The workshop will demonstrate how to use the features of SmartPLS software. SmartPLS, developed at the University of Hamburg (Germany), is (currently) a freeware application for (graphical) path modeling with latent variables using the PLS approach. Currently, there are more than 10,000 registered SmartPLS users worldwide. As opposed to covariance-based SEM approaches (exemplified by software such as LISREL or EQS), the PLS method has been documented as possibly more appropriate for a majority of SEM studies and data sets typically used by researchers. PLS has different requirements for sample size, missing data and data distribution characteristics (e.g. normality, skewness, kurtosis, etc.). Numerous research articles reporting PLS-based SEM analyses have been published in leading MIS journals, including MIS Quarterly, Information Systems Research, and Journal of Management Information Systems, among others.
机译:这款“实践”研讨会将展示如何获得和使用复杂的,(目前)的自由的可视化软件,用于评估使用部分最小二乘(PLS)方法的基于路径的SEM定量模型的测量和结构模型特性。该研讨会将作为教师,博士生,以及正在进行SEM建模的其他研究人员呈现。研讨会将演示如何使用SmartPLS软件的功能。在汉堡大学(德国)开发的SmartPLS是(目前)使用PLS方法的潜在变量的免费软件应用程序(图形)路径建模。目前,全球有超过10,000名注册的SmartPLS用户。与基于协方差的SEM方法相反(通过诸如Lisrel或EQS的软件示例),PLS方法已经记录成可能更适合于大多数研究人员使用的SEM研究和数据集。 PLS对样本大小,缺少数据和数据分布特征有不同的要求(例如,正常性,偏斜,刚性病等)。众多研究文章报告了基于PLS的SEM分析已发表在领先的MIS期刊上,包括MIS季度,信息系统研究和管理信息系统。

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