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Reflections on Partial Least Squares Path Modeling
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DOI：10.1177/1094428114529165.png)
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摘要
En 中文
The purpose of the present article is to take stock of a recent exchange in Organizational Research Methods between critics and proponents of partial least squares path modeling (PLS-PM). The two target articles were centered around six principal issues, namely whether PLS-PM: (a) can be truly characterized as a technique for structural equation modeling (SEM), (b) is able to correct for measurement error, (c) can be used to validate measurement models, (d) accommodates small sample sizes, (e) is able to provide null hypothesis tests for path coefficients, and (f) can be employed in an exploratory, model-building fashion. We summarize and elaborate further on the key arguments underlying the exchange, drawing from the broader methodological and statistical literature to offer additional thoughts concerning the utility of PLS-PM and ways in which the technique might be improved. We conclude with recommendations as to whether and how PLS-PM serves as a viable contender to SEM approaches for estimating and evaluating theoretical models.
Keyword:
structural equation modeling
partial least squares
factor analysis
reliability and validity
instrumental variables
bootstrapping
model fit
期刊
IF:
7.6
论文数:
886
被引数:
1.4W
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Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance偏最小二乘结构方程建模: 严格的应用，更好的结果和更高的接受度.png)
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