stata 基于偏最小二乘法的结构方程模型 SEM

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plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares

Sergio Venturini

Università Bocconi

Mehmet Mehmetoglu

Norwegian University of Science and Technology

[Abstract]

We provide a package called plssem that fits partial least squares structural equation models, which is often considered an alternative to the commonly known covariance-based structural equation modeling. plssem is developed in line with the algorithm provided by Wold (1975) and Lohmöller (1989). To demonstrate its features, we present an empirical application on the relationship between perception of self-attractiveness and two specific types of motivations for working out using a real-life data set. In the paper we also show that, in line with other software performing structural equation modeling, plssem can be used for putting in relation single-item observed variables too and not only for latent variable modeling.

讲解很全且易懂～

[attach]

小tips：

1. stata版本需要15.1之上

2. syntax上与sem gsem 有一些不同 （比如，latent “>” ... 而不是“->” ; 逗号的加与不加 ； latent 的表示被structural的关系替代）

    syntax写不对，stata会给一些莫名其妙的提示（missing= invail 之类），注意检查

可参考：连玉君老师团队 赵玉 (山东大学)老师的讲解 v88i08.pdf (734.36 KB)

2022-2-9 15:36:32 上传

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关键词：结构方程模型 偏最小二乘法 最小二乘法 偏最小二乘 Stata

thanks for sharing